Vulnerability-Lookup

GHSA-55C3-Q2MC-RV5W

Vulnerability from github – Published: 2026-07-27 15:32 – Updated: 2026-07-27 15:32

Details

The lack of cryptographic mechanisms to ensure the integrity and authenticity of communications in Ghost Robotics' Vision 60 robot (APK v5.5.0) exposes the system to man-in-the-middle attacks. An attacker located on the local network can use ARP spoofing and selective traffic blocking techniques to intercept and manipulate packets between the legitimate operator and the robot. This allows the attacker to disconnect the original controller, establish unauthorized communications, and prevent the operator from regaining control of the device, seriously compromising the confidentiality, integrity, and availability (CIA) of operations.

Severity

8.7 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2026-12991"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-300"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-27T13:16:52Z",
    "severity": "HIGH"
  },
  "details": "The lack of cryptographic mechanisms to ensure the integrity and authenticity of communications in Ghost Robotics\u0027 Vision 60 robot (APK v5.5.0) exposes the system to man-in-the-middle attacks. An attacker located on the local network can use ARP spoofing and selective traffic blocking techniques to intercept and manipulate packets between the legitimate operator and the robot. This allows the attacker to disconnect the original controller, establish unauthorized communications, and prevent the operator from regaining control of the device, seriously compromising the confidentiality, integrity, and availability (CIA) of operations.",
  "id": "GHSA-55c3-q2mc-rv5w",
  "modified": "2026-07-27T15:32:29Z",
  "published": "2026-07-27T15:32:29Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12991"
    },
    {
      "type": "WEB",
      "url": "https://www.incibe.es/en/incibe-cert/notices/aviso-sci/multiple-vulnerabilities-ghost-robotics-vision-60"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:A/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-2026-12991 (GCVE-0-2026-12991)

Vulnerability from cvelistv5 – Published: 2026-07-27 11:44 – Updated: 2026-07-27 15:45

Title

Multiple vulnerabilities in Ghost Robotics' Vision 60

Summary

Severity

8.7 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-27 15:44 UTC

CWE

CWE-300 - Channel Accessible by Non-Endpoint

Assigner

INCIBE INCIBE root

References

1 reference

URL	Tags
https://www.incibe.es/en/incibe-cert/notices/avis…	patch

Impacted products

1 product

Vendor	Product	Version
Ghost Robotics	Vision 60	Affected: 5.5.0

Date Public

2026-07-27 11:33

Credits

Víctor Manuel Charro García, Adrián Campazas Vega and Claudia Álvarez Aparicio

Show details on NVD website

JSON

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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.