Vulnerability-Lookup

GHSA-M6GH-M58M-PJ6H

Vulnerability from github – Published: 2026-02-11 21:30 – Updated: 2026-02-11 21:30

Details

Torrent FLV Converter 1.51 Build 117 contains a stack overflow vulnerability that allows attackers to overwrite Structured Exception Handler (SEH) through a malicious registration code input. Attackers can craft a payload with specific offsets and partial SEH overwrite techniques to potentially execute arbitrary code on vulnerable Windows 32-bit systems.

Severity

9.8 (Critical)


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

6.7 (Medium)


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

Show details on source website

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{
  "affected": [],
  "aliases": [
    "CVE-2020-37181"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-11T21:16:11Z",
    "severity": "MODERATE"
  },
  "details": "Torrent FLV Converter 1.51 Build 117 contains a stack overflow vulnerability that allows attackers to overwrite Structured Exception Handler (SEH) through a malicious registration code input. Attackers can craft a payload with specific offsets and partial SEH overwrite techniques to potentially execute arbitrary code on vulnerable Windows 32-bit systems.",
  "id": "GHSA-m6gh-m58m-pj6h",
  "modified": "2026-02-11T21:30:41Z",
  "published": "2026-02-11T21:30:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-37181"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/47938"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/torrent-flv-converter-build-stack-oveflow-seh-partial-overwrite"
    },
    {
      "type": "WEB",
      "url": "http://www.torrentrockyou.com"
    }
  ],
  "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:L/AC:L/AT:N/PR:N/UI:A/VC:N/VI:N/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-2020-37181 (GCVE-0-2020-37181)

Vulnerability from cvelistv5 – Published: 2026-02-11 20:37 – Updated: 2026-02-12 18:43

Title

Torrent FLV Converter 1.51 Build 117 - Stack Oveflow (SEH partial overwrite)

Summary

Severity

6.7 (Medium)


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

9.8 (Critical)


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

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-02-12 18:43 UTC

CWE

CWE-121 - Stack-based Buffer Overflow

Assigner

VulnCheck mitre root

References

3 references

URL	Tags
https://www.exploit-db.com/exploits/47938	exploit
http://www.torrentrockyou.com/	product
https://www.vulncheck.com/advisories/torrent-flv-…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
TorrentRockYou	Torrent FLV Converter	Affected: 1.51 Build 117

Date Public

2020-01-16 00:00

Credits

antonio

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2020-37181",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-02-12T18:43:35.929787Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-02-12T18:43:44.651Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "Torrent FLV Converter",
          "vendor": "TorrentRockYou",
          "versions": [
            {
              "status": "affected",
              "version": "1.51 Build 117"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "type": "finder",
          "value": "antonio"
        }
      ],
      "datePublic": "2020-01-16T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "Torrent FLV Converter 1.51 Build 117 contains a stack overflow vulnerability that allows attackers to overwrite Structured Exception Handler (SEH) through a malicious registration code input. Attackers can craft a payload with specific offsets and partial SEH overwrite techniques to potentially execute arbitrary code on vulnerable Windows 32-bit systems."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "LOCAL",
            "baseScore": 6.7,
            "baseSeverity": "MEDIUM",
            "exploitMaturity": "NOT_DEFINED",
            "privilegesRequired": "NONE",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "ACTIVE",
            "valueDensity": "NOT_DEFINED",
            "vectorString": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
            "version": "4.0",
            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "NONE",
            "vulnIntegrityImpact": "NONE",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
          "format": "CVSS"
        },
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.8,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS"
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-121",
              "description": "Stack-based Buffer Overflow",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-02-11T20:37:04.501Z",
        "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "shortName": "VulnCheck"
      },
      "references": [
        {
          "name": "ExploitDB-47938",
          "tags": [
            "exploit"
          ],
          "url": "https://www.exploit-db.com/exploits/47938"
        },
        {
          "name": "Vendor Homepage",
          "tags": [
            "product"
          ],
          "url": "http://www.torrentrockyou.com/"
        },
        {
          "name": "VulnCheck Advisory: Torrent FLV Converter 1.51 Build 117 - Stack Oveflow (SEH partial overwrite)",
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://www.vulncheck.com/advisories/torrent-flv-converter-build-stack-oveflow-seh-partial-overwrite"
        }
      ],
      "title": "Torrent FLV Converter 1.51 Build 117 - Stack Oveflow (SEH partial overwrite)",
      "x_generator": {
        "engine": "vulncheck"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
    "assignerShortName": "VulnCheck",
    "cveId": "CVE-2020-37181",
    "datePublished": "2026-02-11T20:37:04.501Z",
    "dateReserved": "2026-02-10T18:31:23.901Z",
    "dateUpdated": "2026-02-12T18:43:44.651Z",
    "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.

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.