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AI security incident: OpenClaw session tool visibility hardening and Telegram webhook secret fallback (GHSA...

Incident date: February 18, 2026 | Published: February 25, 2026 | Source: GitHub Security Advisory | Classification confidence: 50%

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.

Vulnerability In some shared-agent deployments, OpenClaw session tools ( sessions_list , sessions_history , sessions_send ) allowed broader session targeting than some operators intended. This is primarily a configuration/visibility-scoping issue in multi-user environments where peers are not equally trusted. In Telegram webhook mode, monitor startup also did not fall back to per-account webhookSecret when only the account-level secret was configured. ## Typical Use Case Context Most regular OpenClaw deployments run a single agent, or run in trusted environments. In those setups, practical risk from this issue is generally low.

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 50%. 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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