CVE-2026-41331 (GCVE-0-2026-41331)
Vulnerability from cvelistv5 – Published: 2026-04-20 23:08 – Updated: 2026-04-21 20:27 X_Open Source
VLAI
EPSS
VEX
Title
OpenClaw < 2026.3.31 - Resource Consumption via Unauthorized Telegram Audio Preflight Transcription
Summary
OpenClaw before 2026.3.31 contains a resource consumption vulnerability in Telegram audio preflight transcription that allows unauthorized group senders to trigger transcription processing. Attackers can exploit insufficient allowlist enforcement to cause resource or billing consumption by initiating audio preflight operations before authorization checks are applied.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-21 12:59 UTC
CWE
- CWE-408 - Incorrect Behavior Order: Early Amplification
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/openclaw/openclaw/security/adv… | vendor-advisory |
| https://github.com/openclaw/openclaw/commit/c4fa8… | patch |
| https://www.vulncheck.com/advisories/openclaw-res… | third-party-advisory |
Impacted products
Date Public
2026-03-31 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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