Vulnerability-Lookup

GHSA-838R-HVWH-24H8

Vulnerability from github – Published: 2021-09-13 20:06 – Updated: 2021-09-24 13:10

Summary

XML Injection in Any23

Details

An XML external entity (XXE) injection vulnerability was discovered in the Any23 StreamUtils.java file and is known to affect Any23 versions < 2.5. XML external entity injection (also known as XXE) is a web security vulnerability that allows an attacker to interfere with an application's processing of XML data. It often allows an attacker to view files on the application server filesystem, and to interact with any back-end or external systems that the application itself can access.

Severity

9.1 (Critical)


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

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{
  "affected": [
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.apache.any23:apache-any23"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.5"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-38555"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-611"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-09-13T19:31:01Z",
    "nvd_published_at": "2021-09-11T11:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "An XML external entity (XXE) injection vulnerability was discovered in the Any23 StreamUtils.java file and is known to affect Any23 versions \u003c 2.5. XML external entity injection (also known as XXE) is a web security vulnerability that allows an attacker to interfere with an application\u0027s processing of XML data. It often allows an attacker to view files on the application server filesystem, and to interact with any back-end or external systems that the application itself can access.",
  "id": "GHSA-838r-hvwh-24h8",
  "modified": "2021-09-24T13:10:05Z",
  "published": "2021-09-13T20:06:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-38555"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/apache/any23"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread.html/r589d1a9f94dbeee7a0f5dbe8513a0e300dfe669bd964ba2fbfe28e07%40%3Cannounce.apache.org%3E"
    }
  ],
  "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:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "XML Injection in Any23"
}

CVE-2021-38555 (GCVE-0-2021-38555)

Vulnerability from cvelistv5 – Published: 2021-09-11 11:05 – Updated: 2024-08-04 01:44

Title

An XML external entity (XXE) injection vulnerability exists in Apache Any23 StreamUtils.java

Summary

Severity

No CVSS data available.

CWE

XML external entity (XXE) injection vulnerability

Assigner

apache mitre root

References

1 reference

URL	Tags
https://lists.apache.org/thread.html/r589d1a9f94d…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Any23	Affected: Apache Any23 , < 2.5 (custom)

Credits

The Apache Any23 Project Management Committee would like to thank Zhuxuan Wu for reporting the security vulnerability.

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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.

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.