Vulnerability-Lookup

GHSA-F7VH-QWP3-X37M

Vulnerability from github – Published: 2022-01-19 00:01 – Updated: 2022-11-25 17:19

Summary

Deserialization of Untrusted Data in Apache Log4j

Details

CVE-2020-9493 identified a deserialization issue that was present in Apache Chainsaw. Prior to Chainsaw V2.0 Chainsaw was a component of Apache Log4j 1.2.x where the same issue exists.

Users are advised to migrate from log4j:log4j to org.apache.logging.log4j:log4j for an updated version of the library.

Severity

9.8 (Critical)


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

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "Maven",
        "name": "log4j:log4j"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "1.2.17"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.zenframework.z8.dependencies.commons:log4j-1.2.17"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "2.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-23307"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-06-20T22:48:35Z",
    "nvd_published_at": "2022-01-18T16:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "CVE-2020-9493 identified a deserialization issue that was present in Apache Chainsaw. Prior to Chainsaw V2.0 Chainsaw was a component of Apache Log4j 1.2.x where the same issue exists.\n\nUsers are advised to migrate from `log4j:log4j` to `org.apache.logging.log4j:log4j` for an updated version of the library.",
  "id": "GHSA-f7vh-qwp3-x37m",
  "modified": "2022-11-25T17:19:49Z",
  "published": "2022-01-19T00:01:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23307"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/rg4yyc89vs3dw6kpy3r92xop9loywyhh"
    },
    {
      "type": "WEB",
      "url": "https://logging.apache.org/log4j/1.2/index.html"
    },
    {
      "type": "WEB",
      "url": "https://www.oracle.com/security-alerts/cpuapr2022.html"
    },
    {
      "type": "WEB",
      "url": "https://www.oracle.com/security-alerts/cpujul2022.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Deserialization of Untrusted Data in Apache Log4j"
}

CVE-2022-23307 (GCVE-0-2022-23307)

Vulnerability from cvelistv5 – Published: 2022-01-18 15:25 – Updated: 2026-05-27 13:44

Title

A deserialization flaw in the Chainsaw component of Log4j 1 can lead to malicious code execution.

Summary

CVE-2020-9493 identified a deserialization issue that was present in Apache Chainsaw. Prior to Chainsaw V2.0 Chainsaw was a component of Apache Log4j 1.2.x where the same issue exists.

Severity

8.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-05-22 13:31 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

apache mitre root Scorecard

References

4 references

URL	Tags
https://logging.apache.org/log4j/1.2/index.html	x_refsource_MISC
https://lists.apache.org/thread/rg4yyc89vs3dw6kpy…	x_refsource_MISC
https://www.oracle.com/security-alerts/cpuapr2022.html	x_refsource_MISC
https://www.oracle.com/security-alerts/cpujul2022.html	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Log4j 1.x	Affected: 1.2.1 , < unspecified (custom) Affected: unspecified , ≤ 2.0-alpha1 (custom)

Credits

@kingkk

Show details on NVD website

JSON

To clipboard

{
  "containers": {
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          "dateUpdated": "2024-08-03T03:36:20.396Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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            "url": "https://logging.apache.org/log4j/1.2/index.html"
          },
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            "tags": [
              "x_refsource_MISC",
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            "url": "https://lists.apache.org/thread/rg4yyc89vs3dw6kpy3r92xop9loywyhh"
          },
          {
            "tags": [
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            ],
            "url": "https://www.oracle.com/security-alerts/cpuapr2022.html"
          },
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            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://www.oracle.com/security-alerts/cpujul2022.html"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
          {
            "cvssV3_1": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "HIGH",
              "baseScore": 8.8,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "HIGH",
              "privilegesRequired": "LOW",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
              "version": "3.1"
            }
          },
          {
            "other": {
              "content": {
                "id": "CVE-2022-23307",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-05-22T13:31:45.470568Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-05-27T13:44:43.452Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Apache Log4j 1.x",
          "vendor": "Apache Software Foundation",
          "versions": [
            {
              "lessThan": "unspecified",
              "status": "affected",
              "version": "1.2.1",
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            },
            {
              "lessThanOrEqual": "2.0-alpha1",
              "status": "affected",
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            }
          ]
        }
      ],
      "credits": [
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          "lang": "en",
          "value": "@kingkk"
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      ],
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      "metrics": [
        {
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            "content": {
              "other": "Critical"
            },
            "type": "unknown"
          }
        }
      ],
      "problemTypes": [
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              "lang": "en",
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      "providerMetadata": {
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      "references": [
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        },
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          "url": "https://www.oracle.com/security-alerts/cpuapr2022.html"
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          "url": "https://www.oracle.com/security-alerts/cpujul2022.html"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
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      "x_generator": {
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        },
        "affects": {
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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.
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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.

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.
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GHSA-F7VH-QWP3-X37M

CVE-2022-23307 (GCVE-0-2022-23307)

Tags

Sightings

Nomenclature

Related by attack behaviour