CVE-2026-4360 Details
In the Tarfile.extract() function, the filter parameter is not passed properly when extracting hardlinks. An affected system that extracts content from untrusted tar files could end up writing files with an unexpected uid/gid despite the user passing filter='data' to the extract() function.
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Exploit prediction scoring system (EPSS) score for CVE-2026-4360
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.27 Probability of exploitation activity being observed over the next 30 days (19th percentile)
CVSS score for CVE-2026-4360
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
5.3 Medium
Products affected by CVE-2026-4360
Python 2.7.8
Python 2.7.9
Python 3.1.3
Python 3.1.1
Python 3.1.2
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2026-4360 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 11,209 19.31%
DE 8,345 14.38%
NL 5,219 8.99%
JP 3,415 5.88%
CN 2,282 3.93%
KR 1,979 3.41%
FR 1,910 3.29%
GB 1,563 2.69%
CA 1,417 2.44%
IT 1,389 2.39%

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CVE-2026-4360 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 21,780 62.72%
Telecommunications 8,875 25.56%
Education 2,277 6.56%
Energy/Resources 455 1.31%
Media/Entertainment 303 0.87%
Government/Politics 272 0.78%
Business Services 216 0.62%
Legal 129 0.37%
Utilities 110 0.32%
Transportation 54 0.16%

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