Vulnerability-Lookup

GHSA-2GG5-7C4V-6XX2

Vulnerability from github – Published: 2022-09-15 00:00 – Updated: 2022-09-19 20:19

Withdrawn 2022-09-16

Summary

Duplicate of GHSA-m77f-652q-wwp4

Details

Duplicate advisory

This advisory is a duplicate of GHSA-m77f-652q-wwp4. This link is maintained to preserve external references.

Original Description

::from_request would not, by default, set a limit for the size of the request body. That meant if a malicious peer would send a very large (or infinite) body your server might run out of memory and crash. This also applies to these extractors which used Bytes::from_request internally: axum::extract::Form axum::extract::Json String

Severity

7.5 (High)


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

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{
  "affected": [
    {
      "package": {
        "ecosystem": "crates.io",
        "name": "axum-core"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.2.8"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "crates.io",
        "name": "axum-core"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.3.0-rc.1"
            },
            {
              "fixed": "0.3.0-rc.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.3.0-rc.1"
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-770"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-09-16T20:59:09Z",
    "nvd_published_at": "2022-09-14T16:15:00Z",
    "severity": "HIGH"
  },
  "details": "## Duplicate advisory\nThis advisory is a duplicate of [GHSA-m77f-652q-wwp4](https://github.com/advisories/GHSA-m77f-652q-wwp4). This link is maintained to preserve external references.\n\n## Original Description\n\u003cbytes::Bytes as axum_core::extract::FromRequest\u003e::from_request would not, by default, set a limit for the size of the request body. That meant if a malicious peer would send a very large (or infinite) body your server might run out of memory and crash. This also applies to these extractors which used Bytes::from_request internally: axum::extract::Form axum::extract::Json String",
  "id": "GHSA-2gg5-7c4v-6xx2",
  "modified": "2022-09-19T20:19:08Z",
  "published": "2022-09-15T00:00:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-3212"
    },
    {
      "type": "WEB",
      "url": "https://research.jfrog.com/vulnerabilities/axum-core-dos"
    },
    {
      "type": "WEB",
      "url": "https://rustsec.org/advisories/RUSTSEC-2022-0055.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Duplicate of GHSA-m77f-652q-wwp4",
  "withdrawn": "2022-09-16T20:59:09Z"
}

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.