Vulnerability-Lookup

GHSA-HPW7-3VQ3-MMV6

Vulnerability from github – Published: 2021-05-19 23:02 – Updated: 2021-05-19 19:38

Summary

Insecure deserialization in Wire

Details

This is the same issue that exists for .NET BinaryFormatter https://docs.microsoft.com/en-us/visualstudio/code-quality/ca2300?view=vs-2019

This also applies to the fork of Wire, AkkaDotNet/Hyperion.

Severity

9.1 (Critical)


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

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{
  "affected": [
    {
      "package": {
        "ecosystem": "NuGet",
        "name": "Wire"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "1.0.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-29508"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-05-19T19:38:22Z",
    "nvd_published_at": "2021-05-11T17:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "Due to how Wire handles type information in its serialization format, malicious payloads can be passed to a deserializer. e.g. using a surrogate on the sender end, an attacker can pass information about a different type for the receiving end. And by doing so allowing the serializer to create any type on the deserializing end.\n\n**This is the same issue that exists for .NET BinaryFormatter https://docs.microsoft.com/en-us/visualstudio/code-quality/ca2300?view=vs-2019**\n\nThis also applies to the fork of Wire, AkkaDotNet/Hyperion.\n\n\n",
  "id": "GHSA-hpw7-3vq3-mmv6",
  "modified": "2021-05-19T19:38:22Z",
  "published": "2021-05-19T23:02:38Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/AsynkronIT/Wire/security/advisories/GHSA-hpw7-3vq3-mmv6"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29508"
    },
    {
      "type": "WEB",
      "url": "https://www.nuget.org/packages/Wire"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Insecure deserialization in Wire"
}

CVE-2021-29508 (GCVE-0-2021-29508)

Vulnerability from cvelistv5 – Published: 2021-05-11 16:35 – Updated: 2024-08-03 22:11

Title

Insecure deserialization in Wire

Summary

Due to how Wire handles type information in its serialization format, malicious payloads can be passed to a deserializer. e.g. using a surrogate on the sender end, an attacker can pass information about a different type for the receiving end. And by doing so allowing the serializer to create any type on the deserializing end. This is the same issue that exists for .NET BinaryFormatter https://docs.microsoft.com/en-us/visualstudio/code-quality/ca2300?view=vs-2019. This also applies to the fork of Wire.

Severity

9.1 (Critical)


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

CWE

CWE-502 - {"CWE-502":"Deserialization of Untrusted Data"}

Assigner

GitHub_M mitre root

References

2 references

URL	Tags
https://github.com/AsynkronIT/Wire/security/advis…	x_refsource_CONFIRM
https://www.nuget.org/packages/Wire/	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
AsynkronIT	Wire	Affected: <= 1.0.0

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JSON

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          "dateUpdated": "2024-08-03T22:11:05.408Z",
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          {
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            ],
            "url": "https://github.com/AsynkronIT/Wire/security/advisories/GHSA-hpw7-3vq3-mmv6"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://www.nuget.org/packages/Wire/"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "product": "Wire",
          "vendor": "AsynkronIT",
          "versions": [
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        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.1,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "NONE",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
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            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
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      "problemTypes": [
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            }
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      ],
      "providerMetadata": {
        "dateUpdated": "2021-05-11T16:35:10.000Z",
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        },
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            }
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        },
        "impact": {
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            },
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    "state": "PUBLISHED"
  },
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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.