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CVE-2025-4435 (GCVE-0-2025-4435)

Vulnerability from cvelistv5 – Published: 2025-06-03 12:59 – Updated: 2026-07-31 14:02
VLAI
Title
Tarfile extracts filtered members when errorlevel=0
Summary
When using a TarFile.errorlevel = 0 and extracting with a filter the documented behavior is that any filtered members would be skipped and not extracted. However the actual behavior of TarFile.errorlevel = 0 in affected versions is that the member would still be extracted and not skipped.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-03 13:58 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
Python Software Foundation CPython Affected: 0 , < 3.9.23 (python)
Affected: 3.10.0 , < 3.10.18 (python)
Affected: 3.11.0 , < 3.11.13 (python)
Affected: 3.12.0 , < 3.12.11 (python)
Affected: 3.13.0 , < 3.13.4 (python)
Affected: 3.14.0a1 , < 3.14.0b3 (python)
guessed Create a notification for this product.
Credits
Chuck Woodraska Petr Viktorin Serhiy Storchaka Hugo van Kemenade Łukasz Langa Thomas Wouters Seth Larson Matt Prodani
Show details on NVD website
To clipboard 

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              "url": "https://github.com/python/cpython/commit/9e0ac76d96cf80b49055f6d6b9a6763fb9215c2a"
            },
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              "tags": [
                "patch"
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              "url": "https://github.com/python/cpython/commit/19de092debb3d7e832e5672cc2f7b788d35951da"
            },
            {
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              "url": "https://github.com/python/cpython/commit/aa9eb5f757ceff461e6e996f12c89e5d9b583b01"
            },
            {
              "tags": [
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              "url": "https://github.com/python/cpython/commit/28463dba112af719df1e8b0391c46787ad756dd9"
            },
            {
              "tags": [
                "patch"
              ],
              "url": "https://github.com/python/cpython/commit/4633f3f497b1ff70e4a35b6fe2c907cbe2d4cb2e"
            },
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              "tags": [
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              "url": "https://github.com/python/cpython/commit/9c1110ef6652687d7c55f590f909720eddde965a"
            },
            {
              "tags": [
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              "url": "https://github.com/python/cpython/commit/dd8f187d0746da151e0025c51680979ac5b4cfb1"
            }
          ],
          "source": {
            "discovery": "UNKNOWN"
          },
          "title": "Tarfile extracts filtered members when errorlevel=0",
          "x_generator": {
            "engine": "Vulnogram 0.2.0"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "28c92f92-d60d-412d-b760-e73465c3df22",
        "assignerShortName": "PSF",
        "cveId": "CVE-2025-4435",
        "datePublished": "2025-06-03T12:59:06.792Z",
        "dateReserved": "2025-05-08T15:05:11.874Z",
        "dateUpdated": "2026-07-31T14:02:43.230Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.