GHSA-3CWM-7JMM-774W

Vulnerability from github – Published: 2022-05-05 00:29 – Updated: 2022-07-07 23:11
VLAI
Summary
Deserialization of Untrusted Data in Beaker
Details

The Beaker library through 1.11.0 for Python is affected by deserialization of untrusted data, which could lead to arbitrary code execution.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "Beaker"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "1.11.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2013-7489"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-07-07T23:11:39Z",
    "nvd_published_at": "2020-06-26T20:15:00Z",
    "severity": "MODERATE"
  },
  "details": "The Beaker library through 1.11.0 for Python is affected by deserialization of untrusted data, which could lead to arbitrary code execution.",
  "id": "GHSA-3cwm-7jmm-774w",
  "modified": "2022-07-07T23:11:39Z",
  "published": "2022-05-05T00:29:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2013-7489"
    },
    {
      "type": "WEB",
      "url": "https://github.com/bbangert/beaker/issues/191"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=1850105"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-3cwm-7jmm-774w"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/bbangert/beaker"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/beaker/PYSEC-2020-216.yaml"
    },
    {
      "type": "WEB",
      "url": "https://www.openwall.com/lists/oss-security/2020/05/14/11"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [],
  "summary": "Deserialization of Untrusted Data in Beaker"
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…