CVE-2025-8194: CWE-835 Loop with Unreachable Exit Condition ('Infinite Loop') in Python Software Foundation CPython
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 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
AI Analysis
Technical Summary
CVE-2025-8194 identifies a vulnerability in the CPython tarfile module where the TarFile extraction and entry enumeration APIs improperly handle tar archives containing negative offsets. The tarfile module fails to validate these offsets, causing the parsing logic to enter an infinite loop and deadlock, effectively causing a denial of service (DoS). This defect is categorized under CWE-835 (Loop with Unreachable Exit Condition). Affected CPython versions include 3.10.0 through 3.14.0a1, covering both stable releases and early alpha versions. The vulnerability can be triggered remotely by processing a maliciously crafted tar archive, requiring no privileges or user interaction, making it accessible to attackers who can supply tar files to vulnerable applications. The impact is limited to availability, as confidentiality and integrity are not directly affected. The Python Software Foundation has published a patch that can be applied dynamically after importing the tarfile module, mitigating the infinite loop condition. No known exploits have been reported in the wild, but the vulnerability's characteristics suggest it could be weaponized for denial of service attacks against Python-based services that handle tar archives, such as CI/CD pipelines, backup systems, or web applications.
Potential Impact
For European organizations, this vulnerability poses a significant risk of denial of service in systems that utilize Python's tarfile module to process tar archives, especially if these archives come from untrusted sources. Industries such as finance, healthcare, manufacturing, and government agencies that rely on Python for automation, data ingestion, or software deployment could experience service outages or disruptions. The infinite loop and deadlock could cause resource exhaustion, leading to application crashes or system instability. This may result in operational downtime, loss of productivity, and potential cascading effects on dependent services. Since no authentication or user interaction is required, attackers could exploit this vulnerability remotely by submitting crafted tar files to vulnerable endpoints. The absence of known exploits currently provides a window for proactive mitigation. However, the widespread use of Python in European IT infrastructures and the criticality of services running Python-based applications elevate the threat's potential impact.
Mitigation Recommendations
European organizations should immediately assess their Python environments to identify usage of affected CPython versions (3.10.0 through 3.14.0a1) and the tarfile module. Apply the official patch or the recommended workaround by dynamically patching the tarfile module after import, as provided by the Python Software Foundation or trusted community sources. Restrict or validate all tar archive inputs from untrusted or external sources to prevent malicious files from reaching vulnerable code paths. Implement input sanitization and integrity checks on tar files before processing. Where feasible, isolate Python processes handling tar files in sandboxed or containerized environments to limit the impact of potential denial of service. Monitor application logs and system metrics for signs of infinite loops or deadlocks related to tarfile processing. Update Python versions to the latest patched releases once available. Incorporate this vulnerability into vulnerability management and incident response plans to ensure rapid detection and remediation.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Belgium, Italy, Spain
CVE-2025-8194: CWE-835 Loop with Unreachable Exit Condition ('Infinite Loop') in Python Software Foundation CPython
Description
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 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
AI-Powered Analysis
Technical Analysis
CVE-2025-8194 identifies a vulnerability in the CPython tarfile module where the TarFile extraction and entry enumeration APIs improperly handle tar archives containing negative offsets. The tarfile module fails to validate these offsets, causing the parsing logic to enter an infinite loop and deadlock, effectively causing a denial of service (DoS). This defect is categorized under CWE-835 (Loop with Unreachable Exit Condition). Affected CPython versions include 3.10.0 through 3.14.0a1, covering both stable releases and early alpha versions. The vulnerability can be triggered remotely by processing a maliciously crafted tar archive, requiring no privileges or user interaction, making it accessible to attackers who can supply tar files to vulnerable applications. The impact is limited to availability, as confidentiality and integrity are not directly affected. The Python Software Foundation has published a patch that can be applied dynamically after importing the tarfile module, mitigating the infinite loop condition. No known exploits have been reported in the wild, but the vulnerability's characteristics suggest it could be weaponized for denial of service attacks against Python-based services that handle tar archives, such as CI/CD pipelines, backup systems, or web applications.
Potential Impact
For European organizations, this vulnerability poses a significant risk of denial of service in systems that utilize Python's tarfile module to process tar archives, especially if these archives come from untrusted sources. Industries such as finance, healthcare, manufacturing, and government agencies that rely on Python for automation, data ingestion, or software deployment could experience service outages or disruptions. The infinite loop and deadlock could cause resource exhaustion, leading to application crashes or system instability. This may result in operational downtime, loss of productivity, and potential cascading effects on dependent services. Since no authentication or user interaction is required, attackers could exploit this vulnerability remotely by submitting crafted tar files to vulnerable endpoints. The absence of known exploits currently provides a window for proactive mitigation. However, the widespread use of Python in European IT infrastructures and the criticality of services running Python-based applications elevate the threat's potential impact.
Mitigation Recommendations
European organizations should immediately assess their Python environments to identify usage of affected CPython versions (3.10.0 through 3.14.0a1) and the tarfile module. Apply the official patch or the recommended workaround by dynamically patching the tarfile module after import, as provided by the Python Software Foundation or trusted community sources. Restrict or validate all tar archive inputs from untrusted or external sources to prevent malicious files from reaching vulnerable code paths. Implement input sanitization and integrity checks on tar files before processing. Where feasible, isolate Python processes handling tar files in sandboxed or containerized environments to limit the impact of potential denial of service. Monitor application logs and system metrics for signs of infinite loops or deadlocks related to tarfile processing. Update Python versions to the latest patched releases once available. Incorporate this vulnerability into vulnerability management and incident response plans to ensure rapid detection and remediation.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- PSF
- Date Reserved
- 2025-07-25T14:05:55.899Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6887c950ad5a09ad00867b28
Added to database: 7/28/2025, 7:02:40 PM
Last enriched: 10/10/2025, 3:43:17 AM
Last updated: 10/29/2025, 12:44:42 PM
Views: 67
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2024-54677: CWE-400 Uncontrolled Resource Consumption in Apache Software Foundation Apache Tomcat
MediumCVE-2024-52316: CWE-391 Unchecked Error Condition in Apache Software Foundation Apache Tomcat
CriticalCVE-2024-50379: CWE-367 Time-of-check Time-of-use (TOCTOU) Race Condition in Apache Software Foundation Apache Tomcat
CriticalCVE-2023-39178
UnknownCVE-2024-56337: CWE-367 Time-of-check Time-of-use (TOCTOU) Race Condition in Apache Software Foundation Apache Tomcat
CriticalActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.