Finding vulnerabilities in Claude code
Source Reddit NetSec
Not known to be exploited.
Data as of 4 Aug 2025, 17:03 UTC
Rated by Threat Radar · No CVSS score from NVD or the CNA
Exploitation evidence
Disclosed: evidence found.
Public on cve.org; its publication date is not in this record
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.
What to do
AI-suggested
Given the limited technical details, European organizations should adopt a cautious and proactive approach. Specific recommendations include: 1) Conduct a thorough inventory to identify any deployments of Claude or related AI systems within their environment. 2) Monitor official Claude vendor communications and security advisories for patches or updates addressing CVE-2025-547954. 3) Implement strict access controls and network segmentation around AI systems to limit exposure. 4) Employ runtime application self-protection (RASP) and behavior monitoring tools to detect anomalous activities potentially exploiting the vulnerability. 5) Engage in threat hunting focused on AI system logs and telemetry for early signs of exploitation attempts. 6) Collaborate with AI vendors to understand secure coding practices and request security assessments of AI components. 7) Educate development and security teams about emerging AI-related vulnerabilities to enhance detection and response capabilities.
Description
Finding vulnerabilities in Claude code Source: https://cymulate.com/blog/cve-2025-547954-54795-claude-inverseprompt/