Vulnerability-Lookup

GHSA-5P9M-WWRV-RFJF

Vulnerability from github – Published: 2026-03-26 15:30 – Updated: 2026-03-26 15:30

Details

River Past CamDo 3.7.6 contains a structured exception handler (SEH) buffer overflow vulnerability that allows local attackers to execute arbitrary code by supplying a malicious string in the Lame_enc.dll name field. Attackers can craft a payload with a 280-byte buffer, NSEH jump instruction, and SEH handler address pointing to a pop-pop-ret gadget to trigger code execution and establish a bind shell on port 3110.

Severity

8.4 (High)


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

8.6 (High)


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

Show details on source website

JSON

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{
  "affected": [],
  "aliases": [
    "CVE-2019-25650"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-26T14:16:06Z",
    "severity": "HIGH"
  },
  "details": "River Past CamDo 3.7.6 contains a structured exception handler (SEH) buffer overflow vulnerability that allows local attackers to execute arbitrary code by supplying a malicious string in the Lame_enc.dll name field. Attackers can craft a payload with a 280-byte buffer, NSEH jump instruction, and SEH handler address pointing to a pop-pop-ret gadget to trigger code execution and establish a bind shell on port 3110.",
  "id": "GHSA-5p9m-wwrv-rfjf",
  "modified": "2026-03-26T15:30:40Z",
  "published": "2026-03-26T15:30:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-25650"
    },
    {
      "type": "WEB",
      "url": "https://en.softonic.com/download/river-past-cam-do/windows/post-download?sl=1"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/46335"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/river-past-camdo-structured-exception-handler-buffer-overflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/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: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-2019-25650 (GCVE-0-2019-25650)

Vulnerability from cvelistv5 – Published: 2026-03-26 13:24 – Updated: 2026-03-26 18:52

Title

River Past CamDo 3.7.6 Structured Exception Handler Buffer Overflow

Summary

Severity

8.6 (High)


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

8.4 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-26 18:52 UTC

CWE

CWE-787 - Out-of-bounds Write

Assigner

VulnCheck mitre root

References

3 references

URL	Tags
https://www.exploit-db.com/exploits/46335	exploit
https://en.softonic.com/download/river-past-cam-d…	product
https://www.vulncheck.com/advisories/river-past-c…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
riverpast	River Past CamDo	Affected: 3.7.6

Date Public

2019-02-07 00:00

Credits

Achilles

Show details on NVD website

JSON

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2019-25650",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-03-26T18:52:04.820770Z",
                "version": "2.0.3"
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          "product": "River Past CamDo",
          "vendor": "riverpast",
          "versions": [
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            }
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        }
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      "credits": [
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          "lang": "en",
          "type": "finder",
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          "lang": "en",
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        }
      ],
      "metrics": [
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          "cvssV4_0": {
            "Automatable": "NOT_DEFINED",
            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
            "attackComplexity": "LOW",
            "attackRequirements": "NONE",
            "attackVector": "LOCAL",
            "baseScore": 8.6,
            "baseSeverity": "HIGH",
            "exploitMaturity": "NOT_DEFINED",
            "privilegesRequired": "NONE",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "NONE",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "NONE",
            "valueDensity": "NOT_DEFINED",
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            "vulnAvailabilityImpact": "HIGH",
            "vulnConfidentialityImpact": "HIGH",
            "vulnIntegrityImpact": "HIGH",
            "vulnerabilityResponseEffort": "NOT_DEFINED"
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            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
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      "problemTypes": [
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          "descriptions": [
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              "lang": "en",
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      "providerMetadata": {
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      "references": [
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          "tags": [
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          ],
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        },
        {
          "name": "Product Reference",
          "tags": [
            "product"
          ],
          "url": "https://en.softonic.com/download/river-past-cam-do/windows/post-download?sl=1"
        },
        {
          "name": "VulnCheck Advisory: River Past CamDo 3.7.6 Structured Exception Handler Buffer Overflow",
          "tags": [
            "third-party-advisory"
          ],
          "url": "https://www.vulncheck.com/advisories/river-past-camdo-structured-exception-handler-buffer-overflow"
        }
      ],
      "title": "River Past CamDo 3.7.6 Structured Exception Handler Buffer Overflow",
      "x_generator": {
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  "cveMetadata": {
    "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
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    "datePublished": "2026-03-26T13:24:20.734Z",
    "dateReserved": "2026-03-26T13:19:46.066Z",
    "dateUpdated": "2026-03-26T18:52:11.464Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
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}

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.