Vulnerability-Lookup

GHSA-2W44-G53G-CCJH

Vulnerability from github – Published: 2026-10-13 21:33 – Updated: 2026-10-13 21:33

Details

Stonewuu ai-fusion-video through 1.2.0 contains an insecure direct object reference vulnerability that allows authenticated users to read other users' generation results by supplying arbitrary task ids. Attackers can enumerate auto-increment task ids on the image and video /items endpoints to obtain other users' generated images, videos, and output metadata.

Severity

4.3 (Medium)


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

5.3 (Medium)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

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JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2026-110213"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-639"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-13T19:18:45Z",
    "severity": "MODERATE"
  },
  "details": "Stonewuu ai-fusion-video through 1.2.0 contains an insecure direct object reference vulnerability that allows authenticated users to read other users\u0027 generation results by supplying arbitrary task ids. Attackers can enumerate auto-increment task ids on the image and video /items endpoints to obtain other users\u0027 generated images, videos, and output metadata.",
  "id": "GHSA-2w44-g53g-ccjh",
  "modified": "2026-10-13T21:33:37Z",
  "published": "2026-10-13T21:33:37Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-110213"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Stonewuu/ai-fusion-video/blob/v1.2.0/ai-fusion-video/src/main/java/com/stonewu/fusion/controller/generation/ImageGenerationController.java#L50-L54"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Stonewuu/ai-fusion-video/blob/v1.2.0/ai-fusion-video/src/main/java/com/stonewu/fusion/controller/generation/VideoGenerationController.java#L49-L53"
    },
    {
      "type": "WEB",
      "url": "https://hackmd.io/@1ExmmukzRMWN7B4gQ4W-4Q/ai-fusion-video-broken-access-control-and-upload-path-traversal"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/ai-fusion-video-through-1.2.0-insecure-direct-object-reference-in-generation-task-item-endpoints"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2026-110213 (GCVE-0-2026-110213)

Vulnerability from cvelistv5 – Published: 2026-10-13 18:50 – Updated: 2026-10-13 18:50

Title

ai-fusion-video through 1.2.0 Insecure Direct Object Reference in Generation Task Item Endpoints

Summary

Severity

5.3 (Medium)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

4.3 (Medium)


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

CWE

CWE-639 - Authorization Bypass Through User-Controlled Key

Assigner

VulnCheck CNA under the mitre root

CNA scorecard B 84/100 over 6031 records in the last 180 days details

References

4 references

URL	Tags
https://hackmd.io/@1ExmmukzRMWN7B4gQ4W-4Q/ai-fusi…	third-party-advisory
https://github.com/Stonewuu/ai-fusion-video/blob/…	technical-description
https://github.com/Stonewuu/ai-fusion-video/blob/…	technical-description
https://www.vulncheck.com/advisories/ai-fusion-vi…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
Stonewuu	ai-fusion-video	Affected: 0 , ≤ 1.2.0 (semver)

Date Public

2026-10-13 00:00

Credits

hieuPenguinnn

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "ai-fusion-video",
          "repo": "https://github.com/Stonewuu/ai-fusion-video",
          "vendor": "Stonewuu",
          "versions": [
            {
              "lessThanOrEqual": "1.2.0",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "hieuPenguinnn"
        }
      ],
      "datePublic": "2026-10-13T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "Stonewuu ai-fusion-video through 1.2.0 contains an insecure direct object reference vulnerability that allows authenticated users to read other users\u0027 generation results by supplying arbitrary task ids. Attackers can enumerate auto-increment task ids on the image and video /items endpoints to obtain other users\u0027 generated images, videos, and output metadata."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "NETWORK",
            "baseScore": 5.3,
            "baseSeverity": "MEDIUM",
            "privilegesRequired": "LOW",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "NONE",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "NONE",
            "vulnConfidentialityImpact": "LOW",
            "vulnIntegrityImpact": "NONE"
          },
          "format": "CVSS"
        },
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 4.3,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
            "version": "3.1"
          },
          "format": "CVSS"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-639",
              "description": "Authorization Bypass Through User-Controlled Key",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-10-13T18:50:02.512Z",
        "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "shortName": "VulnCheck"
      },
      "references": [
        {
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://hackmd.io/@1ExmmukzRMWN7B4gQ4W-4Q/ai-fusion-video-broken-access-control-and-upload-path-traversal"
        },
        {
          "tags": [
            "technical-description"
          ],
          "url": "https://github.com/Stonewuu/ai-fusion-video/blob/v1.2.0/ai-fusion-video/src/main/java/com/stonewu/fusion/controller/generation/ImageGenerationController.java#L50-L54"
        },
        {
          "tags": [
            "technical-description"
          ],
          "url": "https://github.com/Stonewuu/ai-fusion-video/blob/v1.2.0/ai-fusion-video/src/main/java/com/stonewu/fusion/controller/generation/VideoGenerationController.java#L49-L53"
        },
        {
          "name": "VulnCheck Advisory: ai-fusion-video through 1.2.0 Insecure Direct Object Reference in Generation Task Item Endpoints",
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://www.vulncheck.com/advisories/ai-fusion-video-through-1.2.0-insecure-direct-object-reference-in-generation-task-item-endpoints"
        }
      ],
      "title": "ai-fusion-video through 1.2.0 Insecure Direct Object Reference in Generation Task Item Endpoints",
      "x_generator": {
        "engine": "vulncheck-endgame"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
    "assignerShortName": "VulnCheck",
    "cveId": "CVE-2026-110213",
    "datePublished": "2026-10-13T18:50:02.512Z",
    "dateReserved": "2026-10-13T17:59:15.567Z",
    "dateUpdated": "2026-10-13T18:50:02.512Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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

Sightings and recorded dates, grouped by day · UTC

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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.

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.

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