CVE-2026-77967 (GCVE-0-2026-77967)

Vulnerability from cvelistv5 – Published: 2026-09-24 19:51 – Updated: 2026-09-25 16:29
VLAI
Title
Botslab G980H Dashcams Authentication Bypass by Capture-replay
Summary
The Botslab G980H dash camera firmware accepts a reusable authentication value without adequately verifying its freshness or association with the requesting client. An unauthenticated attacker with adjacent network access who captures a valid authentication value could replay it from another client to establish an authenticated session and access privileged device functionality.
Severity
8.1 (High)
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
8.6 (High)
CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-25 16:29 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
Botslab G980H Affected: 30010_QHG980HN5294SysFW+
Affected: 58_QHG980HMCN5291SysFW+
guessed Create a notification for this product.
Date Public
2026-09-24 14:31
Credits
Julian of Software Secured reported this vulnerability to CISA.
Show details on NVD website
To clipboard 

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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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.
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  • 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.



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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.