Vulnerability-Lookup

CVE-2025-66909 (GCVE-0-2025-66909)

Vulnerability from cvelistv5 – Published: 2025-12-19 00:00 – Updated: 2025-12-19 15:23

Summary

Turms AI-Serving module v0.10.0-SNAPSHOT and earlier contains an image decompression bomb denial of service vulnerability. The ExtendedOpenCVImage class in ai/djl/opencv/ExtendedOpenCVImage.java loads images using OpenCV's imread() function without validating dimensions or pixel count before decompression. An attacker can upload a specially crafted compressed image file (e.g., PNG) that is small when compressed but expands to gigabytes of memory when loaded. This causes immediate memory exhaustion, OutOfMemoryError, and service crash. No authentication is required if the OCR service is publicly accessible. Multiple requests can completely deny service availability.

Severity

7.5 (High)


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

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-12-19 15:22 UTC

CWE

n/a
CWE-409 - Improper Handling of Highly Compressed Data (Data Amplification)

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2339 records in the last 180 days details

References

3 references

URL	Tags
https://github.com/turms-im/turms
https://github.com/turms-im/turms/blob/develop/tu…
https://github.com/Xzzz111/public_cve_report/blob…

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2025-66909

Vulnerability from fkie_nvd - Published: 2025-12-19 15:15 - Updated: 2026-10-13 11:10

Severity

7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Summary

References

URL	Tags
cve@mitre.org	https://github.com/Xzzz111/public_cve_report/blob/main/CVE-2025-66909_report.md	Exploit, Third Party Advisory
cve@mitre.org	https://github.com/turms-im/turms	Product
cve@mitre.org	https://github.com/turms-im/turms/blob/develop/turms-ai-serving/src/main/java/ai/djl/opencv/ExtendedOpenCVImage.java#L37	Product
134c704f-9b21-4f2e-91b3-4a467353bcc0	https://github.com/Xzzz111/public_cve_report/blob/main/CVE-2025-66909_report.md	Exploit, Third Party Advisory

Impacted products

	Vendor	Product	Version
	turms-im	turms	0.10.0-snapshot

JSON

To clipboard

{
  "affected": [
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      "affectedData": [
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          "product": "n/a",
          "vendor": "n/a",
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}

GHSA-2F87-396W-G74P

Vulnerability from github – Published: 2025-12-19 15:31 – Updated: 2025-12-19 18:31

Details

Severity

7.5 (High)


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

Show details on source website

JSON

To clipboard

{
  "affected": [],
  "aliases": [
    "CVE-2025-66909"
  ],
  "database_specific": {
    "cwe_ids": [
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    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-12-19T15:15:56Z",
    "severity": "HIGH"
  },
  "details": "Turms AI-Serving module v0.10.0-SNAPSHOT and earlier contains an image decompression bomb denial of service vulnerability. The ExtendedOpenCVImage class in ai/djl/opencv/ExtendedOpenCVImage.java loads images using OpenCV\u0027s imread() function without validating dimensions or pixel count before decompression. An attacker can upload a specially crafted compressed image file (e.g., PNG) that is small when compressed but expands to gigabytes of memory when loaded. This causes immediate memory exhaustion, OutOfMemoryError, and service crash. No authentication is required if the OCR service is publicly accessible. Multiple requests can completely deny service availability.",
  "id": "GHSA-2f87-396w-g74p",
  "modified": "2025-12-19T18:31:17Z",
  "published": "2025-12-19T15:31:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-66909"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Xzzz111/public_cve_report/blob/main/CVE-2025-66909_report.md"
    },
    {
      "type": "WEB",
      "url": "https://github.com/turms-im/turms"
    },
    {
      "type": "WEB",
      "url": "https://github.com/turms-im/turms/blob/develop/turms-ai-serving/src/main/java/ai/djl/opencv/ExtendedOpenCVImage.java#L37"
    }
  ],
  "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"
    }
  ]
}

Sightings

Author	Source	Type	Date	Other

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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.

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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.
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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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CVE-2025-66909 (GCVE-0-2025-66909)

FKIE_CVE-2025-66909

GHSA-2F87-396W-G74P

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