GHSA-P737-P57G-4CPR

Vulnerability from github – Published: 2022-03-25 19:20 – Updated: 2022-03-25 19:20
VLAI?
Summary
Insertion of Sensitive Information into Log File in Jupyter notebook
Details

Impact

What kind of vulnerability is it?

Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter Server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server.

Patches

Has the problem been patched? What versions should users upgrade to?

Upgrade to Jupyter Server version 1.15.4

For more information

If you have any questions or comments about this advisory, or vulnerabilities to report, please email our security list security@ipython.org.

Credit: @3coins for reporting. Thank you!

Severity ?
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Show details on source website
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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "jupyter-server"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.15.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-24757"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-532"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-03-25T19:20:39Z",
    "nvd_published_at": "2022-03-23T21:15:00Z",
    "severity": "HIGH"
  },
  "details": "### Impact\n_What kind of vulnerability is it?_\n\nAnytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter Server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server.\n\n### Patches\n_Has the problem been patched? What versions should users upgrade to?_\n\nUpgrade to Jupyter Server version 1.15.4\n\n### For more information\n\nIf you have any questions or comments about this advisory, or vulnerabilities to report, please email our security list [security@ipython.org](mailto:security@ipython.org).\n\nCredit: @3coins for reporting. Thank you!\n\n",
  "id": "GHSA-p737-p57g-4cpr",
  "modified": "2022-03-25T19:20:39Z",
  "published": "2022-03-25T19:20:39Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-p737-p57g-4cpr"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-24757"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jupyter-server/jupyter_server/commit/a5683aca0b0e412672ac6218d09f74d44ca0de5a"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/jupyter-server/jupyter_server"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/jupyter-server/PYSEC-2022-179.yaml"
    }
  ],
  "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": "Insertion of Sensitive Information into Log File in Jupyter notebook"
}


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Sightings

Author Source Type Date

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.