Vulnerability-Lookup

GHSA-GXXM-RHPX-J39M

Vulnerability from github – Published: 2025-07-10 18:31 – Updated: 2025-11-05 00:31

Details

This issue affects Apache HTTP Server: from 2.4.0 through 2.4.63.

Note: The Apache HTTP Server Project will be setting a higher bar for accepting vulnerability reports regarding SSRF via UNC paths.

The server offers limited protection against administrators directing the server to open UNC paths. Windows servers should limit the hosts they will connect over via SMB based on the nature of NTLM authentication.

Severity

7.5 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2024-43394"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-07-10T17:15:46Z",
    "severity": "HIGH"
  },
  "details": "Server-Side Request Forgery (SSRF)\u00a0in Apache HTTP Server on Windows allows to potentially leak NTLM hashes to a malicious server via\u00a0\nmod_rewrite or apache expressions that pass unvalidated request input.\n\nThis issue affects Apache HTTP Server: from 2.4.0 through 2.4.63.\n\nNote: \u00a0The Apache HTTP Server Project will be setting a higher bar for accepting vulnerability reports regarding SSRF via UNC paths. \n\nThe server offers limited protection against administrators directing the server to open UNC paths.\nWindows servers should limit the hosts they will connect over via SMB based on the nature of NTLM authentication.",
  "id": "GHSA-gxxm-rhpx-j39m",
  "modified": "2025-11-05T00:31:20Z",
  "published": "2025-07-10T18:31:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-43394"
    },
    {
      "type": "WEB",
      "url": "https://httpd.apache.org/security/vulnerabilities_24.html"
    },
    {
      "type": "WEB",
      "url": "https://lists.debian.org/debian-lts-announce/2025/08/msg00009.html"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2025/07/10/2"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2025/07/10/5"
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  "schema_version": "1.4.0",
  "severity": [
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      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-43394 (GCVE-0-2024-43394)

Vulnerability from cvelistv5 – Published: 2025-07-10 16:56 – Updated: 2025-11-04 21:08

Title

Apache HTTP Server: SSRF on Windows due to UNC paths

Summary

Server-Side Request Forgery (SSRF) in Apache HTTP Server on Windows allows to potentially leak NTLM hashes to a malicious server via mod_rewrite or apache expressions that pass unvalidated request input. This issue affects Apache HTTP Server: from 2.4.0 through 2.4.63. Note: The Apache HTTP Server Project will be setting a higher bar for accepting vulnerability reports regarding SSRF via UNC paths. The server offers limited protection against administrators directing the server to open UNC paths. Windows servers should limit the hosts they will connect over via SMB based on the nature of NTLM authentication.

Severity

7.5 (High)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-07-11 16:06 UTC

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

apache mitre root

References

4 references

URL	Tags
https://httpd.apache.org/security/vulnerabilities…	vendor-advisory
https://lists.debian.org/debian-lts-announce/2025…
http://www.openwall.com/lists/oss-security/2025/07/10/2
http://www.openwall.com/lists/oss-security/2025/07/10/5

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache HTTP Server	Affected: 2.4.0 , ≤ 2.4.63 (semver)

Credits

Kainan Zhang (@4xpl0r3r) from Fortinet

Show details on NVD website

JSON

To clipboard

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              "baseScore": 7.5,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "NONE",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
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                "timestamp": "2025-07-11T16:06:25.292340Z",
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            "url": "http://www.openwall.com/lists/oss-security/2025/07/10/2"
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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.