Vulnerability-Lookup

GHSA-V456-CHPW-6MMW

Vulnerability from github – Published: 2022-08-10 00:00 – Updated: 2022-08-18 19:15

Summary

Apache Avro Rust SDK vulnerable to reader looping in cycle endlessly, consuming CPU

Details

It is possible to provide data to be read that leads the reader to loop in cycles endlessly, consuming CPU. This issue affects Rust applications using Apache Avro Rust SDK prior to 0.14.0 (previously known as avro-rs). Users should update to apache-avro version 0.14.0 which addresses this issue.

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": "apache-avro"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.14.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-35724"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-835"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-08-18T19:15:54Z",
    "nvd_published_at": "2022-08-09T07:15:00Z",
    "severity": "HIGH"
  },
  "details": "It is possible to provide data to be read that leads the reader to loop in cycles endlessly, consuming CPU. This issue affects Rust applications using Apache Avro Rust SDK prior to 0.14.0 (previously known as avro-rs). Users should update to apache-avro version 0.14.0 which addresses this issue.",
  "id": "GHSA-v456-chpw-6mmw",
  "modified": "2022-08-18T19:15:54Z",
  "published": "2022-08-10T00:00:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35724"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/a0x8o/avro"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/771z1nwrpkn1ovmyfb2fm65mchdxgy7p"
    }
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  "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": "Apache Avro Rust SDK vulnerable to reader looping in cycle endlessly, consuming CPU"
}

CVE-2022-35724 (GCVE-0-2022-35724)

Vulnerability from cvelistv5 – Published: 2022-08-09 06:50 – Updated: 2024-08-03 09:44

Title

Denial of service while reading data in Avro Rust SDK

Summary

Severity

No CVSS data available.

CWE

CWE-20 - Improper Input Validation
CWE-770 - Allocation of Resources Without Limits or Throttling

Assigner

apache CNA under the mitre root

CNA scorecard B 76/100 over 946 records in the last 180 days details

References

1 reference

URL	Tags
https://lists.apache.org/thread/771z1nwrpkn1ovmyf…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Avro	Affected: unspecified , < 0.14.0 (custom)

Credits

This issue was reported to the Apache Avro team by Evan Richter at ForAllSecure and found with Mayhem.

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JSON

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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.

Vulnerability timeline

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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.

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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.

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