GHSA-QWRF-GFPJ-QVJ6

Vulnerability from github – Published: 2022-05-24 22:04 – Updated: 2022-06-08 16:30
VLAI
Summary
Smokescreen SSRF via deny list bypass (square brackets)
Details

Impact

The primary use case for Smokescreen is to prevent server-side request forgery (SSRF) attacks in which external attackers leverage the behavior of applications to connect to or scan internal infrastructure.

Smokescreen also offers an option to deny access to additional (e.g., external) URLs by way of a deny list. There was an issue in Smokescreen that made it possible to bypass the deny list feature by surrounding the hostname with square brackets (e.g. [example.com]).

Recommendation

Upgrade Smokescreen to version 0.0.4 or later.

Acknowledgements

Thanks to Axel Chong for reporting the issue.

For more information

Email us at security@stripe.com

Severity
5.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Show details on source website
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{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/stripe/smokescreen"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.4"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-29188"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-05-24T22:04:04Z",
    "nvd_published_at": "2022-05-21T00:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nThe primary use case for Smokescreen is to prevent server-side request forgery (SSRF) attacks in which external attackers leverage the behavior of applications to connect to or scan internal infrastructure.\n\nSmokescreen also offers an option to deny access to additional (e.g., external) URLs by way of a deny list. There was an issue in Smokescreen that made it possible to bypass the deny list feature by surrounding the hostname with square brackets (e.g. `[example.com]`). \n\n### Recommendation\nUpgrade Smokescreen to version 0.0.4 or later.\n\n### Acknowledgements\nThanks to [Axel Chong](https://github.com/haxatron) for reporting the issue.\n\n### For more information\nEmail us at security@stripe.com\n\n",
  "id": "GHSA-qwrf-gfpj-qvj6",
  "modified": "2022-06-08T16:30:51Z",
  "published": "2022-05-24T22:04:04Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/stripe/smokescreen/security/advisories/GHSA-qwrf-gfpj-qvj6"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-29188"
    },
    {
      "type": "WEB",
      "url": "https://github.com/stripe/smokescreen/commit/dea7b3c89df000f4072ff9866d61d78e30df6a36"
    },
    {
      "type": "PACKAGE",
      "url": "github.com/stripe/smokescreen"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Smokescreen SSRF via deny list bypass (square brackets)"
}


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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.