Vulnerability-Lookup

GHSA-Q547-GMF8-8JR7

Vulnerability from github – Published: 2021-05-24 16:57 – Updated: 2023-08-29 23:34

Summary

github.com/russellhaering/goxmldsig vulnerable to Signature Validation Bypass

Details

Impact

With a carefully crafted XML file, an attacker can completely bypass signature validation and pass off an altered file as a signed one.

Patches

A patch is available, all users of goxmldsig should upgrade to v1.1.0.

For more information

If you have any questions or comments about this advisory open an issue at https://github.com/russellhaering/goxmldsig

Severity

5.3 (Medium)


                  
                    CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:H/A:N

Show details on source website

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Go",
        "name": "github.com/russellhaering/goxmldsig"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.1.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2020-15216"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-347"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-24T12:54:31Z",
    "nvd_published_at": "2020-09-29T16:15:00Z",
    "severity": "MODERATE"
  },
  "details": "### Impact\nWith a carefully crafted XML file, an attacker can completely bypass signature validation and pass off an altered file as a signed one. \n\n### Patches\nA patch is available, all users of goxmldsig should upgrade to v1.1.0.\n\n### For more information\nIf you have any questions or comments about this advisory open an issue at https://github.com/russellhaering/goxmldsig",
  "id": "GHSA-q547-gmf8-8jr7",
  "modified": "2023-08-29T23:34:28Z",
  "published": "2021-05-24T16:57:32Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/russellhaering/goxmldsig/security/advisories/GHSA-q547-gmf8-8jr7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-15216"
    },
    {
      "type": "WEB",
      "url": "https://github.com/russellhaering/goxmldsig/commit/f6188febf0c29d7ffe26a0436212b19cb9615e64"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/GUH33FPUXED3FHYL25BJOQPRKFGPOMS2"
    },
    {
      "type": "WEB",
      "url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/ZECBFD4M4PHBMBOCMSQ537NOU37QOVWP"
    },
    {
      "type": "WEB",
      "url": "https://pkg.go.dev/github.com/russellhaering/goxmldsig?tab=overview"
    },
    {
      "type": "WEB",
      "url": "https://pkg.go.dev/vuln/GO-2020-0050"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:H/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "github.com/russellhaering/goxmldsig vulnerable to Signature Validation Bypass"
}

CVE-2020-15216 (GCVE-0-2020-15216)

Vulnerability from cvelistv5 – Published: 2020-09-29 16:00 – Updated: 2024-08-04 13:08

Title

Signature Validation Bypass in goxmldsig

Summary

In goxmldsig (XML Digital Signatures implemented in pure Go) before version 1.1.0, with a carefully crafted XML file, an attacker can completely bypass signature validation and pass off an altered file as a signed one. A patch is available, all users of goxmldsig should upgrade to at least revision f6188febf0c29d7ffe26a0436212b19cb9615e64 or version 1.1.0

Severity

5.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:H/A:N

CWE

CWE-347 - Improper Verification of Cryptographic Signature

Assigner

GitHub_M mitre root

References

5 references

URL	Tags
https://github.com/russellhaering/goxmldsig/secur…	x_refsource_CONFIRM
https://github.com/russellhaering/goxmldsig/commi…	x_refsource_MISC
https://pkg.go.dev/github.com/russellhaering/goxm…	x_refsource_MISC
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA

Impacted products

1 product

Vendor	Product	Version
russellhaering	goxmldsig	Affected: < 1.1.0

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-04T13:08:22.878Z",
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            "url": "https://github.com/russellhaering/goxmldsig/security/advisories/GHSA-q547-gmf8-8jr7"
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          },
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        "title": "CVE Program Container"
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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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.