AI Threat Alert
CVE-2025-71371
HIGHpicklescan before 0.0.29 fails to detect malicious pickle files using code.InteractiveInterpreter.runcode in reduce methods. Attackers can craft pickle payloads that bypass picklescan detection and execute arbitrary code when loaded via...
Full CISO analysis pending enrichment.
How severe is it?
What is the attack surface?
What should I do?
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2025-71371?
picklescan before 0.0.29 fails to detect malicious pickle files using code.InteractiveInterpreter.runcode in reduce methods. Attackers can craft pickle payloads that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().
Is CVE-2025-71371 actively exploited?
No confirmed active exploitation of CVE-2025-71371 has been reported, but organizations should still patch proactively.
How to fix CVE-2025-71371?
No patch is currently available. Monitor vendor advisories for updates.
What is the CVSS score for CVE-2025-71371?
CVE-2025-71371 has a CVSS v3.1 base score of 8.1 (HIGH).
What are the technical details?
Original Advisory
picklescan before 0.0.29 fails to detect malicious pickle files using code.InteractiveInterpreter.runcode in reduce methods. Attackers can craft pickle payloads that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().
Weaknesses (CWE)
CWE-502 — Deserialization of Untrusted Data: The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
- [Architecture and Design, Implementation] If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
- [Implementation] When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
Source: MITRE CWE corpus.
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N