Vulnerability-Lookup

GHSA-WVMF-999M-W27J

Vulnerability from github – Published: 2025-12-19 00:31 – Updated: 2026-01-03 21:30

Details

Genymobile/scrcpy versions up to and including 3.3.3 and prior to commit 3e40b24 contain a global buffer overflow vulnerability in the function sc_read32be, invoked via sc_device_msg_deserialize() and process_msgs(). Processing crafted device messages can cause reads beyond the bounds of a global buffer, leading to memory corruption or crashes. This vulnerability can be exploited to cause a denial of service and, under certain conditions, may be leveraged for further exploitation depending on the execution environment and available mitigations.

Severity

9.1 (Critical)


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

6.9 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2025-34449"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-502"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-12-18T22:15:56Z",
    "severity": "MODERATE"
  },
  "details": "Genymobile/scrcpy versions up to and including 3.3.3 and prior to commit 3e40b24 contain a\u00a0global buffer overflow vulnerability in the function sc_read32be, invoked via sc_device_msg_deserialize() and process_msgs(). Processing crafted device messages can cause reads beyond the bounds of a global buffer, leading to memory corruption or crashes. This vulnerability can be exploited to cause a denial of service and, under certain conditions, may be leveraged for further exploitation depending on the execution environment and available mitigations.",
  "id": "GHSA-wvmf-999m-w27j",
  "modified": "2026-01-03T21:30:26Z",
  "published": "2025-12-19T00:31:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-34449"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Genymobile/scrcpy/issues/6415"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Genymobile/scrcpy/commit/3e40b24"
    },
    {
      "type": "WEB",
      "url": "https://github.com/marlinkcyber/advisories/blob/main/advisories/MCSAID-2025-003-scrcpy-global-buffer-overflow.md"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/genymobile-scrcpy-global-buffer-overflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/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-2025-34449 (GCVE-0-2025-34449)

Vulnerability from cvelistv5 – Published: 2025-12-18 21:15 – Updated: 2026-03-23 15:43

Title

Genymobile/scrcpy <= 3.3.3 Global Buffer Overflow

Summary

Genymobile/scrcpy versions up to and including 3.3.3, prior to commit 3e40b24, contain a buffer overflow vulnerability in the sc_device_msg_deserialize() function. A compromised device can send crafted messages that cause out-of-bounds reads, which may result in memory corruption or a denial-of-service condition. This vulnerability may allow further exploitation on the host system.

Severity

6.9 (Medium)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-12-18 21:38 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

VulnCheck mitre root

References

4 references

URL	Tags
https://github.com/marlinkcyber/advisories/blob/m…	technical-descriptionexploit
https://github.com/Genymobile/scrcpy/issues/6415	issue-tracking
https://github.com/Genymobile/scrcpy/commit/3e40b24	patch
https://www.vulncheck.com/advisories/genymobile-s…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
Genymobile	scrcpy	Affected: 0 , ≤ 3.3.3 (semver) Unaffected: 3e40b2473772cea3a23d4932088fd0bc4cc0f52c (git) cpe:2.3:a:genymotion:scrcpy::::::::

Credits

Vlatko Kosturjak with Marlink Cyber

Show details on NVD website

JSON

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                  },
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                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-12-18T21:38:50.954237Z",
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          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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      }
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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.