Vulnerability-Lookup

GHSA-3Q83-GF9G-9QXM

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

Details

An access control vulnerability in the mobile app (APK v5.5.0) for Ghost Robotics' Vision 60 robot allows multiple simultaneous sessions to run without proper client validation or session integrity checks. An attacker with a modified version of the app can connect to the robot during an active, legitimate session. This allows the attacker to bypass control restrictions, intercept sensitive information (such as real-time video), and partially interact with the system unnoticed and without disconnecting the legitimate user, compromising confidentiality and operational security.

Severity

7.7 (High)


                  
                    CVSS:4.0/AV:A/AC:H/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-2026-12990"
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  "database_specific": {
    "cwe_ids": [
      "CWE-284"
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    "github_reviewed_at": null,
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    "severity": "HIGH"
  },
  "details": "An access control vulnerability in the mobile app (APK v5.5.0) for Ghost Robotics\u0027 Vision 60 robot allows multiple simultaneous sessions to run without proper client validation or session integrity checks. An attacker with a modified version of the app can connect to the robot during an active, legitimate session. This allows the attacker to bypass control restrictions, intercept sensitive information (such as real-time video), and partially interact with the system unnoticed and without disconnecting the legitimate user, compromising confidentiality and operational security.",
  "id": "GHSA-3q83-gf9g-9qxm",
  "modified": "2026-07-27T15:32:29Z",
  "published": "2026-07-27T15:32:29Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12990"
    },
    {
      "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": [
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      "score": "CVSS:4.0/AV:A/AC:H/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-2026-12990 (GCVE-0-2026-12990)

Vulnerability from cvelistv5 – Published: 2026-07-27 11:38 – Updated: 2026-07-27 15:45

Title

Multiple vulnerabilities in Ghost Robotics' Vision 60

Summary

Severity

7.7 (High)


                        
                          CVSS:4.0/AV:A/AC:H/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 15:45 UTC

CWE

CWE-284 - Improper Access Control

Assigner

INCIBE INCIBE root Scorecard

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.

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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.

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-3Q83-GF9G-9QXM

CVE-2026-12990 (GCVE-0-2026-12990)

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