OpenClaw Multiple Vulnerabilities - CVSS 5.3 (Medium)
Summary
CERT-Bund issued a security advisory identifying multiple vulnerabilities in OpenClaw, a personal AI assistant for Linux. The vulnerabilities carry a CVSS Base Score of 5.3 (medium) and allow remote anonymous attackers to manipulate data, bypass security mechanisms, or cause denial of service. Affected versions include OpenClaw prior to version 2026.4.2.
What changed
CERT-Bund published a security advisory detailing multiple vulnerabilities in OpenClaw versions prior to 2026.4.2 on Linux. The vulnerabilities enable remote anonymous attackers to exploit data manipulation, security mechanism bypass, and denial-of-service conditions. A mitigation is available.
Organizations using OpenClaw should prioritize updating to the latest version and implementing available mitigations to prevent potential exploitation. Technology companies, manufacturers, and government agencies running affected OpenClaw instances face elevated security risk until patches are applied.
What to do next
- Update OpenClaw to version 2026.4.2 or later
- Apply available mitigations to reduce attack surface
- Monitor for CVE assignments and patch releases
Archived snapshot
Apr 7, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
[WID-SEC-2026-0980] OpenClaw: Mehrere Schwachstellen CVSS Base Score 5.3 (mittel) CVSS Temporal Score 4.6 (mittel) Remoteangriff ja Datum 06.04.2026 Stand 07.04.2026 Mitigation ja
Betroffene Systeme
Betriebssystem
- Linux
Produktbeschreibung
OpenClaw ist ein persönlicher KI-Assistent zur Ausführung auf eigenen Geräten.
Produkte
06.04.2026
- Open Source OpenClaw <2026.4.2
Angriff
Angriff
Ein entfernter, anonymer Angreifer kann mehrere Schwachstellen in OpenClaw ausnutzen, um Daten zu manipulieren, Sicherheitsmechanismen zu umgehen oder einen Denial-of-Service-Zustand zu erzeugen.. CVE Informationen Versionshistorie Feedback zum Advisory geben
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Source
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Source document text, dates, docket IDs, and authority are extracted directly from CERT-Bund.
The plain-English summary, classification, and "what to do next" steps are AI-generated from the original text. Cite the source document, not the AI analysis.
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