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CVE-2026-88761 Botslab CVE debrief

CVE-2026-88761 debrief based on the supplied source corpus. The CVE record was published on 2026-09-24T20:17:33.643Z and has not been modified since then. The Botslab G980H dash camera has a medium-severity vulnerability that allows an unauthenticated attacker within WiFi range to potentially determine the default WiFi password through limited guessing, gaining unauthorized access to the device network. This vulnerability is based on predictable device information used to generate the default WiFi password.

Vendor
Botslab
Product
G980H
CVSS
MEDIUM 6
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-24
Original CVE updated
2026-09-25
Advisory published
2026-09-24
Advisory updated
2026-09-25

Who should care

Organizations and individuals using the Botslab G980H dash camera should assess their exposure and take necessary actions to secure their devices and networks. This includes updating firmware, verifying network configurations, and implementing additional security measures as needed. IT and security teams responsible for managing networked devices should prioritize the assessment and remediation of this vulnerability to prevent potential security incidents.

Why it matters

CVE-2026-88761 is a medium-severity vulnerability in the Botslab G980H dash camera that allows an unauthenticated attacker within WiFi range to potentially determine the default WiFi password through limited guessing, gaining unauthorized access to the device network. Defenders should prioritize updating firmware and verifying network configurations.

  • Potential unauthorized access to the device network.
  • Possible data exposure or tampering.
  • Need for firmware updates and network configuration verification.
  • Potential disruption of device functionality.

Technical summary

The Botslab G980H dash camera generates a default WiFi password using predictable device information, which can be potentially determined by an unauthenticated attacker within WiFi range through limited guessing, allowing unauthorized access to the device network. The vulnerability stems from the use of device-specific details in creating the default password, which can be exploited by an attacker to gain access to the network without authentication. This could lead to potential security breaches, including data exposure or tampering.

Defensive priority

Medium-priority assessment and remediation recommended for organizations using the Botslab G980H dash camera, focusing on updating firmware and verifying network configurations.

Recommended defensive actions

  • Update the firmware of the Botslab G980H dash camera to the latest version if available.
  • Verify and change the default WiFi password to a unique, randomly generated value.
  • Restrict access to the device network to only necessary personnel and systems.
  • Monitor network activity for suspicious connections.
  • Perform a thorough review of the device's network configuration to ensure it aligns with security best practices.
  • Consider implementing additional security measures such as intrusion detection systems or network segmentation.
  • Conduct regular security audits and vulnerability assessments to identify and address potential weaknesses.

Evidence notes

The CVE description and NVD entry indicate that the Botslab G980H dash camera generates a default WiFi password using predictable device information, which can be potentially determined by an unauthenticated attacker within WiFi range through limited guessing.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-88761 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-88761

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-88761 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-88761

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.