CVE-2026-93559 (GCVE-0-2026-93559)

Vulnerability from cvelistv5 – Published: 2026-09-18 16:45 – Updated: 2026-09-18 16:45
VLAI
Title
Forget-C Jellyfish AI Short Drama Studio FastAPI dependencies.py missing authentication
Summary
A vulnerability was identified in Forget-C Jellyfish AI Short Drama Studio 0.1.0-alpha/0.2.0/0.3.0/0.3.1/0.3.2. This affects an unknown function of the file backend/app/dependencies.py of the component FastAPI. The manipulation leads to missing authentication. It is possible to initiate the attack remotely. The reported GitHub issue was closed automatically due to inactivity.
Severity
6.9 (Medium)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X
7.3 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L/E:X/RL:X/RC:R
7.3 (High)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L/E:X/RL:X/RC:R
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
Forget-C Jellyfish AI Short Drama Studio Affected: 0.1.0-alpha
Affected: 0.2.0
Affected: 0.3.0
Affected: 0.3.1
Affected: 0.3.2
    cpe:2.3:a:forget-c:jellyfish_ai_short_drama_studio:*:*:*:*:*:*:*:*
Create a notification for this product.
Credits
summmm (VulDB User) VulDB CNA Team
Show details on NVD website
To clipboard 

{
  "containers": {
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      "affected": [
        {
          "cpes": [
            "cpe:2.3:a:forget-c:jellyfish_ai_short_drama_studio:*:*:*:*:*:*:*:*"
          ],
          "modules": [
            "FastAPI"
          ],
          "product": "Jellyfish AI Short Drama Studio",
          "vendor": "Forget-C",
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              "version": "0.1.0-alpha"
            },
            {
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            {
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              "version": "0.3.0"
            },
            {
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              "version": "0.3.1"
            },
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            }
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        }
      ],
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    "dateReserved": "2026-09-18T09:43:25.261Z",
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    "state": "PUBLISHED"
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                ],
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          }
        ],
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        "lastModified": "2026-09-18T19:14:56.310",
        "metrics": {
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                "modifiedAttackRequirements": "NOT_DEFINED",
                "modifiedAttackVector": "NOT_DEFINED",
                "modifiedPrivilegesRequired": "NOT_DEFINED",
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                "privilegesRequired": "NONE",
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}



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Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.


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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.