Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-8194 is a high-severity Infinite Loop (CWE-835) vulnerability in Python (inferred from references). Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Application or System Exploitation (T1499.004); ranked at the 47th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-2 (Flaw Remediation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-8194 is a defect in the CPython tarfile module that affects the TarFile extraction and entry enumeration APIs. The tar implementation accepts archives containing negative offsets without raising an error, which triggers an infinite loop and deadlock when parsing a maliciously crafted tar file. The issue is tracked under CWE-835 and carries a CVSS 3.1 score of 7.5 reflecting high availability impact.
An unauthenticated remote attacker can supply a specially constructed tar archive to any application that uses the affected TarFile interfaces for extraction or listing. Successful exploitation causes the consuming process to hang indefinitely, resulting in denial of service without requiring authentication or user interaction.
The supplied mitigation consists of applying the patch referenced in the GitHub gist immediately after importing the tarfile module; several corrective commits have also been merged into the CPython repository. The EPSS score has remained flat at 0.0101 with no material increase observed since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-22999
Vulnerability Data
There is a defect in the CPython “tarfile” module affecting the “TarFile” extraction and entry enumeration APIs. The tar implementation would process tar archives with negative offsets without error, resulting in an infinite loop and deadlock during the parsing of…
more
maliciously crafted tar archives. This vulnerability can be mitigated by including the following patch after importing the “tarfile” module: https://gist.github.com/sethmlarson/1716ac5b82b73dbcbf23ad2eff8b33e1
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover unreachable loop exit conditions through static analysis, fuzzing, or execution tracing.
Flaw remediation processes identify and correct infinite-loop defects reported from testing or operations.
Requiring documented development processes and secure coding standards reduces introduction of loops whose termination conditions are unreachable.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing can uncover infinite-loop conditions before release.
Secure development life cycle mandates practices that can detect and prevent infinite-loop defects.
Application security requirements can specify loop-termination rules, indirectly reducing the weakness.
Secure coding standards directly address loop termination and prevent infinite loops.