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AI security incident: webtransport-go: Memory Exhaustion Attack due to Missing Cleanup of Streams Map (GHSA...

Incident date: February 12, 2026 | Published: February 25, 2026 | Source: GitHub Security Advisory | Classification confidence: 45%

This incident is part of the public archive. AI-specific signals are limited in the current source material, so source citations should be reviewed closely during triage. Review methodology.

Summary An attacker can cause unbounded memory consumption repeatedly creating and closing many WebTransport streams. Closed streams were not removed from an internal session map, preventing garbage collection of their resources. ## Details webtransport-go maintains an internal map tracking WebTransport streams (both unidirectional and bidirectional) belonging to a session. In affected versions, entries for closed streams were not removed from this map, causing the map to grow indefinitely as streams were created and closed. A malicious peer can exploit this by opening large numbers of streams and closing them, leading to steady memory growth proportional to the number of closed streams.

Why This Is AI-Related

This advisory is part of the public incident archive, but the current source material uses limited explicit AI terminology, so the cited sources should be reviewed carefully when judging AI relevance and exposure.

  • Explicit AI-specific signals are limited in the current source material, so use the cited advisory to validate scope during triage.

Affected Workflow

Review the AI product, dependency, and integration points mentioned in the source advisory before broadening remediation.

Likely Attack Path

The advisory indicates a security path that can affect AI applications, assistants, models, or connected automation workflows if the component is deployed.

Impact

The advisory has meaningful security implications for an AI-related product, dependency, or workflow and should be triaged against deployed usage. Severity HIGH. Classification confidence 45%. Source channel GHSA.

Detection And Triage Signals

  • New security events tied to the affected component or advisory identifier
  • Changes in AI workflow behavior, access logs, or plugin execution after the advisory window
  • Evidence that the vulnerable version is active in environments that process sensitive data

Recommended Response

  • Confirm whether affected products, models, or integrations are used in your environment.
  • Apply vendor fixes or mitigations and restrict risky permissions until verified.
  • Monitor logs for related indicators and document containment for audit evidence.

Compliance And Business Impact

Even when exploit details are still emerging, delayed triage can widen operational and compliance exposure around AI systems.

Sources

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