Vulnerability-Lookup

GHSA-XX7C-F2FQ-QMV3

Vulnerability from github – Published: 2026-05-29 15:30 – Updated: 2026-05-29 15:30

Details

manga-image-translator contains a remote code execution vulnerability in the shared API server mode due to unsafe deserialization of untrusted pickle data in the share.py module, where the /execute/{method_name} and /simple_execute/{method_name} endpoints deserialize attacker-controlled HTTP request bodies using pickle.loads(). A remote attacker can supply a crafted pickle payload to these endpoints to execute arbitrary code in the server process, resulting in full container compromise when running in the default Docker deployment as root.

Severity

9.8 (Critical)


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

9.2 (Critical)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2026-10042"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-29T15:16:21Z",
    "severity": "CRITICAL"
  },
  "details": "manga-image-translator contains a remote code execution vulnerability in the shared API server mode due to unsafe deserialization of untrusted pickle data in the share.py module, where the /execute/{method_name} and /simple_execute/{method_name} endpoints deserialize attacker-controlled HTTP request bodies using pickle.loads(). A remote attacker can supply a crafted pickle payload to these endpoints to execute arbitrary code in the server process, resulting in full container compromise when running in the default Docker deployment as root.",
  "id": "GHSA-xx7c-f2fq-qmv3",
  "modified": "2026-05-29T15:30:35Z",
  "published": "2026-05-29T15:30:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-10042"
    },
    {
      "type": "WEB",
      "url": "https://github.com/zyddnys/manga-image-translator/issues/1141"
    },
    {
      "type": "WEB",
      "url": "https://github.com/zyddnys/manga-image-translator/pull/1142"
    },
    {
      "type": "WEB",
      "url": "https://github.com/zyddnys/manga-image-translator/commit/d7441481a7ed3236b4e0456670a9962a8c82d94d"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/manga-image-translator-rce-via-unsafe-pickle-deserialization-in-share-model"
    }
  ],
  "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:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/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-2026-10042 (GCVE-0-2026-10042)

Vulnerability from cvelistv5 – Published: 2026-05-29 14:29 – Updated: 2026-06-23 16:13

Title

manga-image-translator RCE via Unsafe Pickle Deserialization in Share Model

Summary

Severity

9.8 (Critical)


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

9.2 (Critical)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-05-29 15:03 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

VulnCheck mitre root Scorecard

References

4 references

URL	Tags
https://github.com/zyddnys/manga-image-translator…	issue-tracking
https://github.com/zyddnys/manga-image-translator…	issue-tracking
https://github.com/zyddnys/manga-image-translator…	patch
https://www.vulncheck.com/advisories/manga-image-…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
zyddnys	manga-image-translator	Affected: 0 , ≤ d744148 (git)

Date Public

2026-05-09 00:00

Credits

YU SUN

Show details on NVD website

JSON

To clipboard

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  "containers": {
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                "id": "CVE-2026-10042",
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                  },
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                  },
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                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-05-29T15:03:33.548018Z",
                "version": "2.0.3"
              },
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            }
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          }
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        "title": "CISA ADP Vulnrichment"
      }
    ],
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          "vendor": "zyddnys",
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              "version": "0",
              "versionType": "git"
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    "datePublished": "2026-05-29T14:29:21.547Z",
    "dateReserved": "2026-05-28T20:43:23.374Z",
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    "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.

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.

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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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GHSA-XX7C-F2FQ-QMV3

CVE-2026-10042 (GCVE-0-2026-10042)

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Sightings

Nomenclature

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