How Quickly Can You Trace Vulnerable Code Across Public Services?

In benchmark testing, OpenAI’s latest model, GPT -6 Astra, was able to find unknown zero-day vulnerabilities and exploit them in real-time. Although this capability is being sandboxed and restricted for now, this finding should worry everyone, especially those responsible for public services. 

The security threat landscape is moving to a mass risk of zero-days, yet the public sector still struggles to respond to known vulnerabilities, especially third-party flaws that take an average of 358 days to fix.

To see where the response can stall, let’s follow a vulnerability alert through a public service and examine what it takes to get the affected code fixed. 

How fast is fast enough?

Imagine a council security team receiving an alert about a flaw in software used to process uploaded documents. A scan finds the affected component in several projects, including one that appears to support the housing repairs portal.

The service director wants to know whether residents can keep using it. The team needs to check which version is running and whether the upload function exposes the flaw. An external supplier maintains the application.

The scan has taken minutes. Answering the director could occupy much of the morning.

In Veracode’s 2026 State of Software Security research, third-party flaws took an average of 358 days to fix and accounted for 66% of critical security debt in its dataset.

Public-service leaders can examine the delay within their own organisations, starting with the work required to turn a component finding into an agreed plan for the affected service.

Graphic showing statistics on third-party software flaws: '358 days' as the average time to fix these issues, alongside '66%' indicating the percentage of critical security debt from third-party components.

The search needs to reach below the application

A service register might identify the repairs portal and its supplier. It is unlikely to tell the security team which open-source library handles a resident’s uploaded photograph.

That detail belongs in the software’s component inventory. A software bill of materials, or SBOM, records the components in a build, including their versions. For this investigation, the inventory must cover dependencies brought in by other packages, known as transitive dependencies.

The distinction matters when the development team says it has never selected the affected library. Another component may have introduced it.

Search results should show that dependency path. It helps the engineer determine which package needs updating, especially when the vulnerable library cannot be changed independently.

Then check the inventory’s scope and date. Confirm that supplier-managed software is included in the search. If it is excluded, the team needs evidence from the supplier before ruling the service out.

Graphic depicting an iceberg with 'What's Beneath Your Public Service?' text. The top shows 'Public Service', followed by 'Application', and at the bottom, 'Vulnerable Dependency' indicated with an exclamation mark.

Follow the finding all the way to production

Suppose the supplier confirms that the library appears in the portal’s codebase. Its latest development build already contains a corrected version.

The council still needs to establish what residents are using today.

Link the component finding to a specific build, then check where that build was deployed. The evidence should identify the live service and any running instances that still contain the affected version.

This connection takes preparation. Repository names rarely explain a service’s purpose to someone outside its delivery team. Maintain the relationship between each project and the service it supports as part of normal delivery. Changes of supplier or platform are good moments to check that the record still holds.

Once the team locates the affected release, it can assess exposure. Some vulnerabilities require particular settings or a reachable function before an attacker can exploit them. Record the relevant configuration and the reasoning behind the assessment.

That gives the service director something useful to act on. If the upload function is exposed, restricting it may be appropriate while a fix is prepared. The decision must account for how residents will submit repair requests during that restriction.

“We’re investigating” needs a next step

A supplier’s acknowledgment can arrive quickly while useful answers take longer.

In our scenario, the council needs a response tied to its deployed release. The supplier should explain whether that release is affected and identify the proposed remedy. Agree when the next substantive update will arrive.

Inside the council, assign someone to coordinate the remediation. That person needs a working technical contact at the supplier and a route for escalating delays. The accountable service owner must also be available to approve operational decisions.

Ownership should be established before the alert arrives. Test the escalation route during routine supplier reviews. A contract reference is little help if the named contact has moved on or cannot reach the engineers responsible.

Where several public services share the same component, assess their exposure individually. Prioritisation should reflect evidence of exploitation and the consequences for each service. A common package does not mean every deployment needs the same response.

The fix has to survive contact with the service

A suggested replacement version gives engineers a starting point. It still needs testing against the application.

An upgrade can change behaviour elsewhere in the dependency chain. For the repairs portal, regression testing should include the document-upload workflow residents rely on. The team also needs a recovery plan if deployment causes problems.

Keep the finding open until the evidence shows that the corrected build has reached the affected instances. Recheck the deployed software and retain the result with the remediation record.

If an update must wait, document the reason and set a review date. Any temporary restriction needs someone responsible for checking that it remains effective. Otherwise, the next person handling the service inherits an unresolved decision with little explanation.

Find out where your own morning goes

Choose one important service and rehearse this investigation using a component it actually contains. Time how long the team takes to produce:

  • A deployment record: the affected version linked to the live service.
  • An exposure decision: the evidence supporting the assessment.
  • A named lead: someone able to coordinate remediation and escalate delays.
  • A tested route to closure: the proposed update and the checks required after deployment.
Infographic outlining the steps to getting a fix live: 1. Locate the affected service, 2. Assess if the flaw is exploitable, 3. Assign responsibility for the fix, 4. Verify if the fix is live and working.

Record where the investigation stalls. Waiting for supplier evidence requires a different remedy from finding an ownerless repository. Repeat the exercise once the team has addressed the delay.

Meterian can support the component investigation by identifying dependencies across projects and monitoring published vulnerabilities. Its reports provide remediation guidance, with integration into existing delivery pipelines. Teams can connect those findings to their service records to complete the investigation.

We’ll be discussing that work at DigiGov Expo, 23–24 September 2026, at ExCeL London. Meet Meterian to explore how quickly your team could trace an affected component through to a public service and put someone in charge of the fix.

How Quickly Can You Trace Vulnerable Code Across Public Services?

Three Open-Source Security Questions Teams Should Answer Before 2027 Planning

3–4 minutes


Open-source security is moving into a more demanding phase.

The UK Software Security Code of Practice expects software vendors to understand their third-party components, assess their risks, verify updates, and maintain them throughout the product lifecycle.

The NCSC’s June warning added urgency. Recent attacks have compromised trusted packages, maintainer accounts, and developer tooling. Automated installation can spread malicious code before a person reviews it.

Regulatory pressure is becoming operational too. The EU Cyber Resilience Act’s reporting duties for actively exploited vulnerabilities and severe incidents begin on 11 September 2026. Broader product-security obligations follow in December 2027.


Before teams set their 2027 priorities, they should be able to answer three questions.

Infographic of the continuous open-source security cycle (Choose, Check, Record, Monitor, Respond), illustrating the EU Cyber Resilience Act requirements to provide an early warning within 24 hours of an actively exploited vulnerability or severe incident, followed by a fuller notification within 72 hours.

1. Can we identify every dependency in a released product?

An inventory that stops at direct dependencies gives an incomplete picture. A small package can bring in a much larger transitive tree, and the vulnerable component may sit several layers below the one a developer selected.

The useful test is practical: when a new vulnerability is disclosed, can the team identify every affected product, version, and owner quickly?

That requires release-linked component records that stay current. An SBOM can support the process, though generating one is only the beginning.

ENISA’s 2026 survey found that 78% of responding organisations had started their SBOM journey. Only 9% described their implementation as mature and fully automated. It also found a wide gap between generating SBOMs and using them: 44% reported a moderate gap, while 23% reported a significant one.

For planning, ask whether the inventory is complete enough to guide patching and incident response. If it cannot support a decision, it is documentation rather than an operational control.

Infographic on tracing vulnerable packages by product, version, and owner. It includes ENISA 2026 stats showing 78% of organisations have started their SBOM journey, but only 9% are fully automated, highlighting a massive gap between simply generating SBOMs and actively using them.

2. Who decides whether a package and version are acceptable?

A vulnerability scanner can identify a known issue. It cannot define the organisation’s full acceptance policy on its own.

Teams still need rules for package provenance, project maintenance, licences, transitive dependencies, update behaviour, and acceptable exceptions. They also need a named owner for the decision.

This matters because open-source risk now includes more than vulnerable code. The NCSC describes maintainer-account compromise, abandoned-package takeover, typosquatting, and self-propagating attacks. A newly released version can therefore carry a different kind of risk from an old, unpatched one.

A workable policy should be clear enough for developers to apply during normal delivery. It should also record exceptions with an owner and an expiry date.

3. How quickly can we act when the risk changes?

Dependency approval is temporary. A package that is acceptable today may disclose a vulnerability next month, lose its maintainer, or publish a compromised update.

Teams should measure the path from new intelligence to action:

  • How quickly can they locate the affected component?
  • Who assesses exploitability and operational impact?
  • How long does a safe update take to reach production?
  • Can they retain evidence of the decision?

The CRA’s reporting timetable makes this speed visible. From 11 September 2026, affected manufacturers must provide an early warning within 24 hours of learning about an actively exploited vulnerability or severe incident, followed by a fuller notification within 72 hours.

Those deadlines are hard to meet when ownership and component visibility are assembled after the event.

Put the first decision closer to the developer

The answers to these questions should produce a joined-up workflow.

Developers check a package and exact version before adoption. CI/CD applies the organisation’s policy and retains evidence. Continuous monitoring catches risk that appears after release. Security and product owners handle exceptions and remediation timelines.

HEIDI supports the first point in that chain. It brings known-vulnerability information and safer-version suggestions into the IDE, while the dependency is still easy to change. That early feedback should work with pipeline enforcement, SBOMs, and post-release monitoring.

A useful 2027 plan should leave each team able to identify what it ships, explain why each component is trusted, and respond quickly when that trust changes.

Three Open-Source Security Questions Teams Should Answer Before 2027 Planning

Why Developers Need Security in Their IDE: Lessons from Today’s Vulnerability Mess

2–4 minutes
HEIDI by Meterian logo with the tagline "Security where you code." The design features blue stylized code brackets forming an 'H' alongside a glowing signal icon above the 'I' in HEIDI.
Stop Coding in the Dark: Bringing Real-Time Security to Agentic AI Development

The software supply chain has become the backbone of business, but with that reliance comes escalating risk. Attackers are moving faster than defenders, targeting not just production environments but the very tools and processes developers rely on every day.

Recent statistics underline the urgency:

  • API vulnerabilities rose 168% in 2025, with 91% of organisations reporting API-related security incidents. Misconfigured APIs now expose 10 billion records annually, making them the fastest-growing attack vector.
  • GitHub repositories remain a high-value target. With 35% of repos public, malicious actors exploit developer missteps to compromise projects upstream.
  • Self-hosted runners used in CI/CD pipelines are another weak link. Research shows 35% of enterprises leave themselves exposed to attacks that allow lateral movement across repositories and organisations.

For AI adoption and secure coding to scale among thousands of developers of all skill levels, the industry needs both tools and guardrails to work together at machine-speed.  Agentic coding (using assistants like Cursor or Windsurf) has increased the risk of “blind trust” in AI-proposed code because LLMs often lack current threat intelligence.  

Shifting Attacker Focus

The Q2 2025 vulnerability data reveals a telling pattern. Exploited software included remote access tools and document editing platforms, as well as low-code/no-code development tools and even frameworks for building AI-powered applications.

What’s striking is that the vulnerabilities weren’t found in AI-generated code itself but in the frameworks supporting it. As development technologies evolve, attackers follow — exploiting weaknesses wherever developers least expect them.

The Developer’s Blind Spot

Despite these trends, many organisations still rely on security checks late in the lifecycle — in CI/CD pipelines or after deployment. This leaves developers coding in the dark, unaware that the open-source components and dependencies they’re pulling in could already be vulnerable.

By the time an issue is flagged, code is often deeply integrated, making remediation costly, disruptive, and in some cases, too late.

This is the gap attackers exploit: the developer’s blind spot inside the IDE.  ‘Blind Trust’ becomes a liability. 

Security Where You Code

Closing that gap means moving security upstream, directly into the developer’s workflow. That’s where HEIDI, Meterian’s new free IDE plugin, comes in.

HEIDI integrates with Visual Studio Code and JetBrains IDEs, providing:

  • Automatic vulnerability scanning of open-source dependencies (direct and transitive).
  • One-click fixes, so developers can remediate issues instantly.
  • Lightweight reports with actionable insights — without leaving the IDE.
  • Privacy by design: no source code ever leaves the machine, only manifest files are scanned.

Built for operational resilience:  now finding a vulnerability at the workbench is a “5-second fix,” preventing downstream disruption or a firm’s existential crisis.

By embedding this capability where code is actually written, HEIDI removes the guesswork and makes secure coding a natural part of the process. It transforms security from a late-stage barrier into an everyday guardrail.

Building Resilience From the Start

The rise of API exploitation, exposed GitHub repos, and vulnerable CI/CD runners clearly shows that attackers no longer wait for production. They strike wherever software is created, stored, or moved.

Organisations that want to stay ahead need to shift left — making vulnerability assessment and remediation part of the developer’s daily environment.

HEIDI makes this shift practical. It empowers developers to ship code that is secure from the start, reducing security debt, lowering patching costs, and protecting the supply chain before vulnerabilities can spread downstream.Stop coding in the dark. Arm your AI companion with the real-time security signals it’s been missing. Download HEIDI for free on the Visual Studio Code or JetBrains Marketplace today

Why Developers Need Security in Their IDE: Lessons from Today’s Vulnerability Mess

Shai-Hulud 2.0: What executives need to know about the supply-chain worm (Nov 24, 2025)

6–9 minutes
Shai-Hulud 2.0: What executives need to know about the new npm supply-chain worm (Nov 24, 2025)

On November 24, 2025, a second wave of the “Shai-Hulud” npm supply-chain attack began spreading through the JavaScript ecosystem. Attackers compromised maintainer accounts, published trojanized versions of legitimate packages, and used them as a worm to steal credentials and propagate into more projects and organizations.

What happened (in plain terms)

  • Trusted packages were silently replaced with malicious updates. When developers or CI systems installed these versions, the malware ran automatically during install.
  • The malware steals secrets at scale. The payload hunts for npm/GitHub tokens and cloud credentials, then exfiltrates them to attacker-controlled repos.
  • This wave is more capable than September’s. Researchers observed improved execution (including the Bun runtime) and broader credential targeting, making infection faster and harder to spot.
  • High-profile vendors were hit. Packages tied to Zapier, ENS Domains, Postman, PostHog, AsyncAPI and others were compromised, showing the attackers can reach well-run projects—not just obscure libs.

Why this matters to your business

This is not a “developer problem.” It is a direct enterprise risk:

  1. Credential theft = account takeover. If a compromised package was installed in your environment, assume tokens and keys on that machine (or CI runner) may be stolen. That can lead to cloud breaches, source-code theft, or ransomware-style follow-on attacks.
  2. Supply chain blast radius is huge. npm packages are deeply nested in modern apps. One infected dependency can taint many internal services before anyone notices. The campaign has already spread into tens of thousands of GitHub repos.
  3. Regulatory and reputational exposure. If attacker access leads to customer data loss or service disruption, you face incident-response costs, disclosure obligations, and trust damage.

Immediate actions (next 24–72 hours) for your engineering team

If your engineering team uses Node.js / npm anywhere:

  1. Identify exposure.
    • Compare your dependency lockfiles (package-lock.json, yarn.lock, pnpm-lock.yaml) to the known malicious package/version list from current advisories
    • Search CI logs and build images for installs of those versions around Nov 24, 2025 onward.
    • If you are using Meterian, your teams will be notified tomorrow of any outstanding issue in your projects, while you can also manually trigger a rescan
  2. Treat potentially affected environments as compromised.
    • Rotate all secrets that could have been accessible to developer machines or CI runners: npm tokens, GitHub tokens, cloud keys, DB creds, SaaS API keys.
    • Re-issue creds from a clean machine.
  3. Hunt for persistence.
    • Check for unexpected GitHub Actions / CI workflows, new secrets, or unfamiliar deploy keys. Earlier Shai-Hulud waves used CI backdoors to keep access.
  4. Block known bad versions now.
    • Add deny-lists in artifact proxies (e.g., npm registry mirrors) and internal policy gates.
    • Pin safe versions until the incident stabilizes.

Medium-term fixes (next few weeks) for your engineering team

  • Eliminate long-lived registry tokens. The attack leveraged stolen or weakly protected maintainer/CI tokens; reducing token lifetime and scope cuts worm propagation.
  • Harden CI/CD. Run builds in isolated runners with minimal secrets; require approvals for workflow changes.
  • Adopt dependency trust controls.
    • Prefer verified publishing / signed releases where available.
    • Add automated checks for sudden owner changes, new install scripts, or unusual publish patterns.

The take-home

Shai-Hulud 2.0 is a credential-stealing worm riding on the npm ecosystem. It spreads through normal installs, targets high-value developer and cloud secrets, and has already hit mainstream packages. The right executive posture is: assume compromise if exposed, rotate secrets fast, and tighten the software supply chain permanently. After last September’s incident, we predicted this would rear its ugly head again. Watch a brief update and warning shared earlier this week at one of our meetings.

Meterian CTO Bruno Bossola shares the growing blast radius and all consumers of NPM must stop it

This is a story under development!

Please keep an eye on this blog page, in the meantime here’s the list of affected packages and versions so far:

Package Malicious version(s)
Package name Affected versions
@accordproject/concerto-analysis 3.24.1
@accordproject/concerto-linter 3.24.1
@accordproject/concerto-linter-default-ruleset 3.24.1
@accordproject/concerto-metamodel 3.12.5
@accordproject/concerto-types 3.24.1
@accordproject/markdown-it-cicero 0.16.26
@accordproject/template-engine 2.7.2
@actbase/css-to-react-native-transform 1.0.3
@actbase/native 0.1.32
@actbase/node-server 1.1.19
@actbase/react-absolute 0.8.3
@actbase/react-daum-postcode 1.0.5
@actbase/react-kakaosdk 0.9.27
@actbase/react-native-actionsheet 1.0.3
@actbase/react-native-devtools 0.1.3
@actbase/react-native-fast-image 8.5.13
@actbase/react-native-kakao-channel 1.0.2
@actbase/react-native-kakao-navi 2.0.4
@actbase/react-native-less-transformer 1.0.6
@actbase/react-native-naver-login 1.0.1
@actbase/react-native-simple-video 1.0.13
@actbase/react-native-tiktok 1.1.3
@afetcan/api 0.0.13
@afetcan/storage 0.0.27
@alexadark/amadeus-api 1.0.4
@alexadark/gatsby-theme-events 1.0.1
@alexadark/gatsby-theme-wordpress-blog 2.0.1
@alexadark/reusable-functions 1.5.1
@alexcolls/nuxt-socket.io 0.0.7|0.0.8
@alexcolls/nuxt-ux 0.6.1|0.6.2
@alexcolls/nuxt-ux 0.6.2|0.6.1
@antstackio/eslint-config-antstack 0.0.3
@antstackio/express-graphql-proxy 0.2.8
@antstackio/graphql-body-parser 0.1.1
@antstackio/json-to-graphql 1.0.3
@antstackio/shelbysam 1.1.7
@aryanhussain/my-angular-lib 0.0.23
@asyncapi/dotnet-rabbitmq-template 1.0.2|1.0.1
@asyncapi/edavisualiser 1.2.2|1.2.1
@asyncapi/go-watermill-template 0.2.76|0.2.77
@asyncapi/java-template 0.3.6|0.3.5
@asyncapi/keeper 0.0.3|0.0.2
@asyncapi/php-template 0.1.2|0.1.1
@asyncapi/python-paho-template 0.2.15|0.2.14
@asyncapi/server-api 0.16.25|0.16.24
@asyncapi/studio 1.0.3|1.0.2
@asyncapi/web-component 2.6.7|2.6.6
@bdkinc/knex-ibmi 0.5.7
@browserbasehq/bb9 1.2.21
@browserbasehq/director-ai 1.0.3
@browserbasehq/mcp 2.1.1
@browserbasehq/mcp-server-browserbase 2.4.2
@browserbasehq/sdk-functions 0.0.4
@browserbasehq/stagehand 3.0.4
@browserbasehq/stagehand-docs 1.0.1
@caretive/caret-cli 0.0.2
@chtijs/eslint-config 1.0.1
@clausehq/flows-step-httprequest 0.1.14
@clausehq/flows-step-jsontoxml 0.1.14
@clausehq/flows-step-mqtt 0.1.14
@clausehq/flows-step-sendgridemail 0.1.14
@clausehq/flows-step-taskscreateurl 0.1.14
@cllbk/ghl 1.3.1
@commute/bloom 1.0.3
@commute/market-data 1.0.2
@commute/market-data-chartjs 2.3.1
@dev-blinq/ai-qa-logic 1.0.19
@dev-blinq/cucumber_client 1.0.738
@dev-blinq/cucumber-js 1.0.131
@dev-blinq/ui-systems 1.0.93
@ensdomains/address-encoder 1.1.5
@ensdomains/blacklist 1.0.1
@ensdomains/buffer 0.1.2
@ensdomains/ccip-read-cf-worker 0.0.4
@ensdomains/ccip-read-dns-gateway 0.1.1
@ensdomains/ccip-read-router 0.0.7
@ensdomains/ccip-read-worker-viem 0.0.4
@ensdomains/content-hash 3.0.1
@ensdomains/curvearithmetics 1.0.1
@ensdomains/cypress-metamask 1.2.1
@ensdomains/dnsprovejs 0.5.3
@ensdomains/dnssec-oracle-anchors 0.0.2
@ensdomains/dnssecoraclejs 0.2.9
@ensdomains/durin 0.1.2
@ensdomains/durin-middleware 0.0.2
@ensdomains/ens-archived-contracts 0.0.3
@ensdomains/ens-avatar 1.0.4
@ensdomains/ens-contracts 1.6.1
@ensdomains/ens-test-env 1.0.2
@ensdomains/ens-validation 0.1.1
@ensdomains/ensjs 4.0.3
@ensdomains/ensjs-react 0.0.5
@ensdomains/eth-ens-namehash 2.0.16
@ensdomains/hackathon-registrar 1.0.5
@ensdomains/hardhat-chai-matchers-viem 0.1.15
@ensdomains/hardhat-toolbox-viem-extended 0.0.6
@ensdomains/mock 2.1.52
@ensdomains/name-wrapper 1.0.1
@ensdomains/offchain-resolver-contracts 0.2.2
@ensdomains/op-resolver-contracts 0.0.2
@ensdomains/react-ens-address 0.0.32
@ensdomains/renewal 0.0.13
@ensdomains/renewal-widget 0.1.10
@ensdomains/reverse-records 1.0.1
@ensdomains/server-analytics 0.0.2
@ensdomains/solsha1 0.0.4
@ensdomains/subdomain-registrar 0.2.4
@ensdomains/test-utils 1.3.1
@ensdomains/thorin 0.6.51
@ensdomains/ui 3.4.6
@ensdomains/unicode-confusables 0.1.1
@ensdomains/unruggable-gateways 0.0.3
@ensdomains/vite-plugin-i18next-loader 4.0.4
@ensdomains/web3modal 1.10.2
@everreal/react-charts 2.0.2
@everreal/react-charts 2.0.1|2.0.2
@everreal/validate-esmoduleinterop-imports 1.4.5
@everreal/validate-esmoduleinterop-imports 1.4.4|1.4.5
@everreal/web-analytics 0.0.2
@everreal/web-analytics 0.0.1|0.0.2
@faq-component/core 0.0.4
@faq-component/react 1.0.1
@fishingbooker/browser-sync-plugin 1.0.5
@fishingbooker/react-loader 1.0.7
@fishingbooker/react-pagination 2.0.6
@fishingbooker/react-raty 2.0.1
@fishingbooker/react-swiper 0.1.5
@hapheus/n8n-nodes-pgp 1.5.1
@hover-design/core 0.0.1
@hover-design/react 0.2.1
@huntersofbook/auth-vue 0.4.2
@huntersofbook/core 0.5.1
@huntersofbook/core-nuxt 0.4.2
@huntersofbook/form-naiveui 0.5.1
@huntersofbook/i18n 0.8.2
@huntersofbook/ui 0.5.1
@hyperlook/telemetry-sdk 1.0.19
@ifelsedeveloper/protocol-contracts-svm-idl 0.1.2|0.1.3
@ifelsedeveloper/protocol-contracts-svm-idl 0.1.2
@ifings/design-system 4.9.2
@ifings/metatron3 0.1.5
@jayeshsadhwani/telemetry-sdk 1.0.14
@kvytech/cli 0.0.7
@kvytech/components 0.0.2
@kvytech/habbit-e2e-test 0.0.2
@kvytech/medusa-plugin-announcement 0.0.8
@kvytech/medusa-plugin-management 0.0.5
@kvytech/medusa-plugin-newsletter 0.0.5
@kvytech/medusa-plugin-product-reviews 0.0.9
@kvytech/medusa-plugin-promotion 0.0.2
@kvytech/web 0.0.2
@lessondesk/api-client 9.12.2|9.12.3
@lessondesk/api-client 9.12.3|9.12.2
@lessondesk/babel-preset 1.0.1
@lessondesk/electron-group-api-client 1.0.3
@lessondesk/eslint-config 1.4.2
@lessondesk/material-icons 1.0.3
@lessondesk/react-table-context 2.0.4
@lessondesk/schoolbus 5.2.2|5.2.3
@livecms/live-edit 0.0.32
@livecms/nuxt-live-edit 1.9.2
@louisle2/core 1.0.1
@louisle2/cortex-js 0.1.6
@lpdjs/firestore-repo-service 1.0.1
@lui-ui/lui-nuxt 0.1.1
@lui-ui/lui-tailwindcss 0.1.2
@lui-ui/lui-vue 1.0.13
@markvivanco/app-version-checker 1.0.2|1.0.1
@ntnx/passport-wso2 0.0.3
@ntnx/t 0.0.101
@oku-ui/accordion 0.6.2
@oku-ui/alert-dialog 0.6.2
@oku-ui/arrow 0.6.2
@oku-ui/aspect-ratio 0.6.2
@oku-ui/avatar 0.6.2
@oku-ui/checkbox 0.6.3
@oku-ui/collapsible 0.6.2
@oku-ui/collection 0.6.2
@oku-ui/dialog 0.6.2
@oku-ui/direction 0.6.2
@oku-ui/dismissable-layer 0.6.2
@oku-ui/focus-guards 0.6.2
@oku-ui/focus-scope 0.6.2
@oku-ui/hover-card 0.6.2
@oku-ui/label 0.6.2
@oku-ui/menu 0.6.2
@oku-ui/motion 0.4.4
@oku-ui/motion-nuxt 0.2.2
@oku-ui/popover 0.6.2
@oku-ui/popper 0.6.2
@oku-ui/portal 0.6.2
@oku-ui/presence 0.6.2
@oku-ui/primitive 0.6.2
@oku-ui/primitives 0.7.9
@oku-ui/primitives-nuxt 0.3.1
@oku-ui/progress 0.6.2
@oku-ui/provide 0.6.2
@oku-ui/radio-group 0.6.2
@oku-ui/roving-focus 0.6.2
@oku-ui/scroll-area 0.6.2
@oku-ui/separator 0.6.2
@oku-ui/slider 0.6.2
@oku-ui/slot 0.6.2
@oku-ui/switch 0.6.2
@oku-ui/tabs 0.6.2
@oku-ui/toast 0.6.2
@oku-ui/toggle 0.6.2
@oku-ui/toggle-group 0.6.2
@oku-ui/toolbar 0.6.2
@oku-ui/tooltip 0.6.2
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zapier-scripts 7.8.3|7.8.4
zuper-cli 1.0.1
zuper-sdk 1.0.57
zuper-stream 2.0.9

More information from the world

Shai-Hulud 2.0: What executives need to know about the supply-chain worm (Nov 24, 2025)

Jaguar Land Rover Cyberattack: A Wake-Up Call for Supply Chain Resilience

3–4 minutes

The automotive giant’s recent cyber breach shows why continuous vulnerability assessment and open-source security are no longer optional.

Earlier this month, Jaguar Land Rover (JLR), the UK’s largest carmaker, was forced to shut down global IT systems after a cyberattack disrupted production across its factories. Plants in Solihull, Halewood, Wolverhampton, and Slovakia were halted. Operations in China, India, and Brazil also felt the ripple effect.

Thousands of employees and suppliers were sent home. Dealers and garages had to switch to manual operations during one of the busiest sales periods of the year: the September license plate registration window.

While no customer data breach has been confirmed, the attack reflects how deeply cybersecurity failures in the supply chain can damage both business operations and national economies. JLR contributes nearly 4% of the UK’s exports.

How the Jaguar Land Rover Attack Happened

The hacking coalition calling itself “Scattered Lapsus$ Hunters” claimed responsibility, posting internal screenshots as proof. Analysts link the group to earlier social engineering campaigns carried out by collectives like Scattered Spider, Lapsus$, and ShinyHunters.

This was not a sophisticated zero-day exploit. It was an attack on trust and resilience. By exploiting weaknesses in IT systems and operational processes, attackers triggered a shutdown that cascaded across JLR’s entire global network.

For an industry where every production hour counts, this was a direct hit to the supply chain.

Why Supply Chain Vulnerabilities Are a Critical Business Risk

The JLR case illustrates the stark reality:

  • Operational Technology (OT) systems are connected to IT systems. A breach in one disrupts the other.
  • Third-party risk is first-party risk. If suppliers or partners are compromised, your own resilience is at stake.
  • Downtime is as damaging as data loss. Even without stolen records, JLR faces millions in lost productivity and missed sales.
  • Open-source software is everywhere. Modern automotive systems depend on open-source libraries and components. Without continuous monitoring, hidden risks can remain undetected until it’s too late.

Where Vulnerability Assessment Makes the Difference

This incident is a powerful reminder of the need for continuous vulnerability assessment and software supply chain security. Key protective measures include:

  • Automated vulnerability scanning across all code, dependencies, and applications
  • SBOM (Software Bill of Materials) to ensure visibility into every open-source component used in critical systems
  • Continuous monitoring for newly disclosed CVEs that could disrupt supply chains
  • DevSecOps integration to ensure remediation is part of the development and deployment pipeline
  • Incident readiness through real-time alerts and automated remediation guidance

How Meterian Helps Build Resilience

Meterian’s platform is built to detect, monitor, and remediate open-source vulnerabilities before they cause widespread damage.

  • BOSS (Business Open Source Sentinel): Provides real-time alerts for newly disclosed vulnerabilities across your software supply chain.
  • Sentinel: Automates vulnerability assessment and integrates into your CI/CD workflows to block unsafe code before it reaches production.
  • SBOM generation and ingestion: Gives you complete visibility into the components your business depends on, simplifying compliance and response.
  • AI-powered continuous monitoring: Ensures you are always ahead of emerging threats—whether in PHP, Java, .NET, or any other stack critical to your business.

Had such systems been in place across JLR and its suppliers, the blast radius of this attack could have been contained, with faster detection and remediation.

Why Open-Source Security Matters

The JLR breach demonstrates a truth we see across industries: open-source security is business security.

When 80–90% of modern applications depend on open-source components, every unpatched library becomes a potential entry point. The cost of ignoring these risks isn’t theoretical. It’s operational paralysis, financial loss, and reputational damage.

Don’t Wait for the Next Breach

The JLR cyber attack is not an isolated incident. It is part of a wider trend of supply chain attacks targeting global industries. The question is not whether open-source vulnerabilities exist in your systems—they do. 

The question is: are you continuously monitoring and remediating them?

Now is the time to take control of your software supply chain.

👉 Learn how to strengthen resilience in our upcoming webinar:
“What’s Open Source Security Got to Do with Resilience of the Supply Chain?”
📅 September 18, 2025 • 14:00 BST • 15:00 CET • 09:00 ET • 18:30 IST

Register here

Jaguar Land Rover Cyberattack: A Wake-Up Call for Supply Chain Resilience

Ivanti’s RCE Nightmare Started with a Library You Might Be Using Too

2–3 minutes

In May 2025, cybersecurity headlines were dominated by Ivanti Endpoint Manager Mobile (EPMM) facing active exploitation through chained remote code execution (RCE) vulnerabilities—CVE‑2025‑4427 and CVE‑2025‑4428. 

These flaws enabled unauthenticated attackers to execute malicious code on affected systems, affecting enterprises globally. Ivanti’s vulnerabilities were notably tied to outdated open-source Java components, highlighting the critical importance of managing open-source security dependencies.

In this blog, we explore the Ivanti incidents, understand the role vulnerable Java libraries played, and demonstrate how proactive software composition analysis (SCA), continuous monitoring, and automated remediation through Meterian-X could have prevented or swiftly mitigated these attacks.

Ivanti’s Open Source Vulnerability: Java Libraries at Fault

The Ivanti vulnerabilities were rooted in the software’s reliance on outdated versions of Java libraries, specifically including “hibernate-validator.” These libraries were susceptible to chained exploits:

  • CVE‑2025‑4427: Allowed authentication bypass.
  • CVE‑2025‑4428: Enabled subsequent remote code execution (RCE).

These vulnerabilities underscore a significant risk: even trusted enterprise products can expose businesses if they incorporate insecure or outdated open-source components.

Understanding the Attack Surface

Ivanti’s attack scenario reveals common industry oversights:

  • Outdated dependency versions not promptly updated.
  • Inadequate visibility into the software bill of materials (SBOM).
  • Insufficient integration of security checks in the continuous integration and continuous delivery (CI/CD) pipeline.

Given the rise in nation-state actors targeting supply chains, companies must ensure software dependencies are continuously scrutinized.

Continuous Monitoring & Detection with Meterian Sentinel

Meterian Sentinel actively monitors dependencies, aggregating real-time vulnerability intelligence from authoritative sources, such as the National Vulnerability Database and GitHub Security Advisories. 

Sentinel would have identified Ivanti’s outdated “hibernate-validator” dependency, alerting development and security teams of the urgent update required.

BOSS: Immediate Alerting & Automated Remediation

Meterian’s BOSS system provides:

  • Real-time notifications of critical vulnerabilities.
  • Actionable, prioritized remediation steps directly within development workflows.

In Ivanti’s case, BOSS would have immediately alerted to the risky dependency version, detailing the vulnerability and auto-generating a recommended fix within the CI/CD process.

Proactive Prevention: CI/CD Integration Workflow with Meterian-X

Integrating Meterian-X into CI/CD pipelines ensures software vulnerabilities are detected and addressed at the earliest stage, automatically:

  • Scanning: Meterian-X conducts real-time vulnerability scanning, flagging outdated dependencies like “hibernate-validator.”
  • Alerting: Via BOSS, teams receive instant alerts embedded within their existing development tools.
  • Remediation: Meterian-X auto-suggests safe library versions, ensuring secure deployment without manual intervention.
  • Verification: Automatically generates comprehensive SBOM reports (in CycloneDX format), streamlining compliance and software traceability.

This integration transforms vulnerability management from reactive firefighting into proactive security.

The Critical Role of SBOM

The Ivanti incident emphasizes why SBOMs are critical:

  • Manufacturers and enterprises gain transparent, real-time views into their software components.
  • Teams rapidly identify vulnerabilities within third-party dependencies.
  • Regulatory compliance becomes streamlined (e.g., SOC 2, EU CRA, EU DORA).

Meterian-X’s CycloneDX-based SBOM generation and ingestion is integral to maintaining visibility, security, and compliance.

Strengthening Your Software Supply Chain

Ivanti’s vulnerability illustrates a fundamental truth: security must extend beyond internal code to encompass all open-source dependencies. Meterian empowers security leaders, developers, and compliance teams to proactively detect and auto-remediate risks like those affecting Ivanti.

Adopting Meterian’s comprehensive security integration ensures continuous monitoring. It provides a rapid response and reliable protection of your software supply chain. This safeguards your business from the increasing threat of supply-chain-based cyber attacks.

Ivanti’s RCE Nightmare Started with a Library You Might Be Using Too

The Java Clone Hack That Happened in 20 Minutes — Could It Happen to You?

2–3 minutes
A smartphone displaying icons for a 'Clone App' with error messages and a shield symbol, highlighting cybersecurity themes.

In May 2025, a clone of the secure messaging app Signal — known as TM SGNL by TeleMessage — was compromised in under 20 minutes. The breach wasn’t due to zero-day exploits or state-sponsored threat actors. Instead, it was a plain, preventable Java server misconfiguration that exposed plaintext credentials, archived messages, and encryption keys.

This incident is a stark reminder for security and development teams – modern applications, especially Java-based clone apps, are riddled with hidden vulnerabilities that standard controls often miss.

This is exactly the class of threats Meterian’s continuous monitoring and AI-powered vulnerability intelligence is built to catch early and fix fast.


The TM SGNL Hack: Anatomy of a Misconfiguration

At the heart of the breach was a forgotten and publicly accessible Spring Boot Actuator endpoint. The exposed heap dump included:

  • Admin usernames and passwords in plaintext
  • Encryption keys
  • Archived private messages

TM SGNL had promised end-to-end encryption. Yet archived content was stored insecurely, and passwords were hashed using client-side MD5 — a deprecated and insecure method. The application also ran on an outdated JSP stack, compounding the risk.

The breach showed how vulnerable legacy Java frameworks and poor server hygiene can create systemic risk, even in apps that claim security by design.


Where Continuous Scanning Could Have Helped

This type of vulnerability isn’t exotic. It’s configuration-level, but critically dangerous. Meterian’s platform continuously scans Java applications for:

  • Misconfigured Actuator endpoints
  • Insecure or outdated hashing algorithms (like MD5)
  • Use of legacy Java stacks with unpatched CVEs
  • Exposure of credentials in memory dumps or logs

By aggregating insights from over 15 trusted vulnerability feeds, including the National Vulnerability Database and GitHub Advisories, Meterian flags risks with both high fidelity and low noise.


BOSS & Sentinel: Detect, Alert, Remediate

Meterian’s Sentinel engine would have flagged the publicly exposed /heapdump endpoint immediately as a misconfiguration with known exploit patterns. Combined with BOSS, our automated alerting system, security engineers would receive:

  • A prioritized, actionable report
  • A breakdown of the exposed endpoint’s risk level
  • Suggested auto-remediation steps (e.g., disable public access, require auth tokens)

These insights are delivered directly into existing CI/CD pipelines or DevSecOps dashboards, accelerating mitigation.


Why Java Clone Apps Are Especially Vulnerable

Clone apps often inherit:

  • Outdated codebases
  • Legacy dependencies
  • Minimal refactoring

In many cases, these applications rebrand functionality but retain insecure implementations. TM SGNL reused insecure design patterns while branding itself as a secure communications tool. This mismatch is where attackers thrive.

Meterian’s dependency graph analysis would have:

  • Mapped all third-party Java libraries in use
  • Flagged outdated dependencies
  • Identified insecure hashing libraries

What This Means for Security Leaders

Security isn’t just about patching CVEs. It’s about maintaining visibility and control across all components — including infrastructure, third-party libraries, and code hygiene.

Meterian helps CISOs, developers, and risk managers:

  • Maintain an up-to-date SBOM (using CycloneDX)
  • Integrate continuous monitoring into CI/CD
  • Detect vulnerabilities before they become breaches
  • Proactively secure clone apps before release


Prevention Is Achievable

The TM SGNL breach should not have happened. With continuous scanning, real-time intelligence, and automation-first remediation, it could have been prevented.

Meterian empowers software teams to spot and fix vulnerabilities like these — not weeks after deployment, but during development.

In 2025, security isn’t just a feature. It’s a process. And with Meterian, that process is invisible, continuous, and resilient by design.

The Java Clone Hack That Happened in 20 Minutes — Could It Happen to You?

Open Source, Hidden Risk

Part 1: What Business Leaders Must Learn from Recent Cyber Vulnerabilities

Author: Rod Cobain • 4 min read

Three business professionals reading a newspaper titled 'SOURCE: Hidden Risks Susceptible to Cyber Atokspern Attacks' in a modern office setting, discussing hidden risks susceptible to cyber attacks.
AI-generated image of business professionals

Open source software powers your business, it’s a fact whether you know it or not. From core infrastructure to everyday applications, open source code is embedded deep within the tools we trust. It’s a quiet enabler of innovation, agility, and scale.

But recent high-profile vulnerabilities, from Log4Shell to the XZ Utils backdoor, have exposed a hard truth; what’s free and open can also be fragile and risky. For business leaders, these incidents aren’t just technical hiccups. They’re a boardroom-level ticking time bomb. It’s time we stop treating open source security as an engineering detail and start addressing it as a strategic priority.

Many assume that popular open source projects are secure because they’re widely used. But visibility isn’t the same as scrutiny. The Log4Shell vulnerability sat undetected in a core Java logging library for nearly a decade until Dec 2021.  When discovered, it impacted millions of computers, everything from cloud platforms to consumer apps.  As a business leader, if your business relies on open source (and it does), you must invest in ongoing due diligence, not blind trust. Recent supply chain issues should prompt critical questions such as, “What’s in my software supply chain?” and “How’s it monitored?”.

Your Risk is Reflected by Your Dependencies

A single compromised component can ripple across countless systems.  Looking at the event-streamincident, a small JavaScript library was hijacked and weaponised to steal cryptocurrency.   As a business leader, demanding visibility into your organisation’s dependency map is a must, ignorance is no excuse, and cyber insurance providers are not covering such risks. Are you relying on unknown or unmaintained components in your software development production? If the answer is “yes or not sure”, you need to have your code assets scanned, and either automatically remediated or managed with a mitigation plan.  As a result of the widespread consequences these open source vulnerabilities can have, since the Log4Shell incident, insurance providers require customers to prove they’ve patched or risk losing their insurance cover benefits

Underfunded Projects Power Billion-Pound Businesses

The most alarming aspect of many open source vulnerabilities isn’t the flaw itself, but the lack of maintenance. The XZ backdoor came about partly because the project had only one active maintainer, such is the nature of open source community driven software.  Therefore consumers and enterprises using the open source library inherit the responsibility for the quality and security of the instance used in its own coding projects. Adopting a pro-active 24/7 solution that incorporates continuous monitoring, automated remediation, and AI-powered vulnerability detection, is essential for identifying and addressing issues swiftly.

Leadership takeaway: Small investment vs Large payout or loss of credibility is clear. 

Speed of Response Is a Competitive Advantage

Putting in place a pro-active approach when vulnerabilities emerge–detect, prioritise, and patch quickly– can prevent disruption and protect your reputation. Marks & Spencer, Co-op and others are still striving to regain normality in the weeks to come.  These unfortunate incidents of “world class companies” highlight how security response has become a key measure of business agility.  Are your teams empowered with the tools and authority to act swiftly when open source risks emerge?

The Future of Open Source Security

Open source is here to stay.  Its growth is undeniable and remains a cornerstone of technological innovation for good. But security can’t just be an engineering checkbox. It must be part of your organisation’s culture, led from the top. Encourage a mindset of proactive security and open collaboration. The best organisations view open source software not just as free software, but as shared infrastructure worth protecting.

Conclusion

Cyber vulnerabilities in open source is not  a reason to fear the model.  Instead, they’re a call to engage more responsibly with it. As leaders, we must stop viewing open source security as someone else’s problem. The reality is: if your business runs on open source, its security must be your priority. Your role may not be a technical one, but asking the right questions and knowing your options from the beginning will help you take a preventive stance to ensure you don’t end up as tomorrow’s headline.

Open Source, Hidden Risk

Defend Against Disruption: Safeguard Vulnerability Management Amid MITRE Funding Risks

Today’s Reality Check: Vulnerability Management is Non-Negotiable

With the MITRE CVE system being the backbone of global vulnerability identification, it’s alarming to see discussions about funding cuts that could jeopardize this critical resource. If the industry loses its shared language for describing digital flaws, we’re all in trouble. This could stifle innovation in vulnerability management and mitigation, leaving organizations scrambling for reliable data in the U.S. and globally.

The industry needs to rally. We must collaborate on alternative funding models, invest in open-source initiatives, and forge partnerships that keep vital resources like CVE alive and thriving. Let’s ensure that our defenses remain robust, even in the face of disruption.

Meterian: The Power Database and Invisible Security Platform You Need

While others may falter, Meterian is charging ahead. Our vulnerability database is not just comprehensive; it’s a powerhouse, tracking over 400,000+ vulnerabilities and receiving daily automatic updates from a multitude of sources. We pull data from the National Vulnerability Database, GitHub Security Advisories, and 15 other unique feeds. But we don’t stop there. Our AI-generated insights, combined with meticulous manual curation, deliver a done-for-you service that your security and engineering teams can depend on.

In short, we provide your enterprise with a pair of automated eagle eyes, ensuring you have full visibility into potential software weaknesses in your third-party software supply chain.

Quality and Volume

Our commitment to excellence means you get the best tools to manage vulnerabilities effectively, for your team’s tech stack and workflow.  We have a multitude of integrations and our OpenAPI architecture means we can collaborate to create more value together.

Join the Revolution

It’s time to elevate your cybersecurity strategy with the best solution for your team. Ready to take your cybersecurity to the next level?  Check out our product page infographic to see how our database stacks up against the competition.

Defend Against Disruption: Safeguard Vulnerability Management Amid MITRE Funding Risks

WHY IS SOFTWARE COMPOSITION ANALYSIS (SCA) IMPORTANT?


Attacks through open source are growing year on year, so companies cannot rely only on periodic pen testing. The code needs to be scanned on a daily basis during the lifecycle of the application’s development stages, and continue to do so once an application is deployed.

Modern software development in fact heavily relies on open-source components: they accelerate development, reduce costs, and provide access to well-tested, community-maintained code. Understanding the composition of their software products is crucial for companies producing applications, as it helps manage and secure the significant portion of their codebase that originates from open-source projects.

Checking open-source components in software development is crucial for at least three reasons: let’s have a closer look and clarify the problems.

Security Risks

The code of open-source  components is always publicly available and it is a natural target for hackers. Each day, more than 50 new vulnerabilities are discovered in open-source components and, if not identified and managed, they can be exploited, leading to security breaches.

Countless examples are available:

All these hacks were performed using a vulnerability in an open-source component: nothing was wrong with the code written by the respective developers.

How common are vulnerabilities? See, in this sample, the growth of vulnerabilities in the .NET open-source ecosystem:

Please note that this is a restricted view that matches exclusively only vulnerabilities affecting opensource components specific to the .NET ecosystem. Across all ecosystems, more than 100,000 vulnerabilities affecting open-source components are recorded. 

The risks are real. If you want to learn more you can also read our blog here.

License compliance

Open-source components come with various licenses, each with specific requirements and restrictions. Failing to comply with these licenses can lead to legal issues, including copyright infringement claims.

Among all those, let’s not forget TruthSocial, the famous Twitter clone created by the Trump Media & Technology Group, was found to be in breach of an OSS license and had to disclose its source code publicly.

Also Tesla decided to release its code to the public to comply with a copyleft license. On another occasion.  Westinghouse Digital Electronics preferred bankruptcy

The risks are real. If you want to learn more you can also read our blog  here.

Quality and reliability

While open-source software can be of high quality, this varies significantly, and some components might be abandoned or poorly maintained. Using such components can pose risks to the project’s stability and reliability.

Here introducing you Swashbuckle, a popular .NET project that has been abandoned by his creator for a more interesting adventures and now lays unmaintained and without an owner. It was last updated 6 (six) years ago.


Let’s also have a look at Lazy, another popular NodeJS component that was last updated 11 (eleven) years ago. While it’s a small library with a limited attach surface, why would you like to have this in your application? Software does not age like fine wine, unfortunately. 

This is an example of two commonly used opensource components that have not been updated in years,  a very long time in software development. Those components are basically not maintained anymore: if a problem is found, it won’t be fixed. If a vulnerability is there, nobody will know about it (apart from the occasional hacker, of course)

How Meterian SCA helps solve the challenge

Meterian offers a comprehensive application security platform designed to enhance the security posture, compliance adherence, and overall quality of software projects. This platform provides in-depth analysis and automation capabilities, empowering organisations to effectively manage open-source and third-party libraries throughout their software development lifecycle. Through its robust features, Meterian enables organisations to identify and mitigate vulnerabilities, ensure compliance with relevant regulations and standards, and maintain a high level of software quality.

Meterian is unique compared to its competitors because of various characteristics, let’s explore them

Supports the largest number of ecosystems
If you are using a legacy technology like Perl, focus on data science using Jupyter Notebooks, build video games with Unity, or build ultra-fast micro-services with Rust, you deserve the best protection available. Meterian supports a wide range of languages and ecosystems, and if your platform is not there, we will be happy to support it for you. 

Easy to to deploy on premises or dedicated cloud
In the SaaS industry, the requirement for a dedicated single-tenant instance or an on-premises installation may be driven by specific business needs, such as tight security, data sovereignty, and geo-location considerations.  Meterian can easily provide a single-tenant environment, either on-cloud or on-prem, and offers also a range of air-gapped solutions for extreme secure environments.

Comprehensive vulnerability database
Meterian’s vulnerability database not only boasts a broader coverage than any of its competitors but is also updated daily through a fully automated system that integrates numerous OSINT sources and Meterian’s specially curated databases, including AI-generated advisories directly from the analysis of open-source repositories. This automated process outpaces manual entry methods, ensuring we maintain a competitive edge through faster and more efficient updates, a key differentiation in our service offering.

Superior customer support
Speed, quality of responses, customer obsession, won deals because of this. We have a unique culture where the concept of “support” does not really exist, as all engineers are constantly working with customers. We want to be obsessed with customers, solve their problems quickly and effectively. Every customer support query is directly handled by engineers and is given priority in our backlog. This approach guarantees that our product evolves in response to real-world feedback, while also maintaining the highest level of customer satisfaction.

What next?

Don’t just take our word for it – experience the benefits for yourself. We invite you to schedule a demo to see how our solution can make a difference in your organisation’s security posture. Our team of experts is ready to guide you through the features and show you how it can address your specific security challenges. Take the first step towards a more secure future – reach out today and discover how Meterian can elevate your cybersecurity strategy.


Looking forward hearing from you.

WHY IS SOFTWARE COMPOSITION ANALYSIS (SCA) IMPORTANT?