GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

GHSA-7JRW-P8JC-V6QW

Vulnerability from github – Published: 2023-01-11 18:30 – Updated: 2023-11-07 23:14
VLAI
Summary
sviehb/jefferson vulnerable to path traversal
Details

A vulnerability has been found in the sviehb/jefferson JFFS2 filesystem extraction tool. This vulnerability affects unknown code of the file src/scripts/jefferson. The manipulation leads to path traversal. The attack can be initiated remotely. Upgrading to version 0.4 is able to address this issue as it includes https://github.com/sviehb/jefferson/commit/53b3f2fc34af0bb32afbcee29d18213e61471d87.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "jefferson"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-4885"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2023-11-07T23:14:22Z",
    "nvd_published_at": "2023-01-11T18:15:00Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability has been found in the sviehb/jefferson JFFS2 filesystem extraction tool. This vulnerability affects unknown code of the file `src/scripts/jefferson`. The manipulation leads to path traversal. The attack can be initiated remotely. Upgrading to version 0.4 is able to address this issue as it includes https://github.com/sviehb/jefferson/commit/53b3f2fc34af0bb32afbcee29d18213e61471d87.",
  "id": "GHSA-7jrw-p8jc-v6qw",
  "modified": "2023-11-07T23:14:22Z",
  "published": "2023-01-11T18:30:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-4885"
    },
    {
      "type": "WEB",
      "url": "https://github.com/sviehb/jefferson/pull/36"
    },
    {
      "type": "WEB",
      "url": "https://github.com/sviehb/jefferson/commit/53b3f2fc34af0bb32afbcee29d18213e61471d87"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/sviehb/jefferson"
    },
    {
      "type": "WEB",
      "url": "https://github.com/sviehb/jefferson/releases/tag/v0.4"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?ctiid.218020"
    },
    {
      "type": "WEB",
      "url": "https://vuldb.com/?id.218020"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "sviehb/jefferson vulnerable to path traversal"
}



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…

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.


Loading…