External risk intelligence

GV-Face Transmits Credentials Over Unencrypted HTTP

CVE advisorySeverity: CRITICAL (CVSS 10.0)

CVE-2026-124600

GV-Face is a facial recognition and authentication system. Such systems are commonly deployed as network-connected devices or services to facilitate access control and user authentication across facilities, often necessitating network reachability for management and integration, making public or external-facing exposure a common deployment scenario.

Halo Surface Signal: 4 out of 5 — likely to be public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

This advisory highlights a vulnerability where GV-Face transmits sensitive user credentials and authentication data over unencrypted HTTP connections. This means an attacker capable of intercepting network traffic could potentially access this information. The main concern at this stage is confirming if this technology is in use and if it is exposed in a way that could be targeted.

  • Unencrypted data transmission of user credentials.
  • Potential for sensitive information interception.
  • Confirm relevance and exposure to users.

Attack Path

How an attacker could exploit the issue

An attacker can intercept unencrypted network traffic to gain access to sensitive user credentials and authentication data transmitted by GV-Face. This occurs because the application uses unencrypted HTTP connections, exposing data to anyone capable of monitoring the network.

  • Network traffic interception is required.
  • Vulnerable component transmits data unencrypted.
  • Exposure of sensitive user credentials.

Live Threat

Current exploitation, exposure, and threat context

When supported by the advisory, sensitive user credentials and related authentication data transmitted over unencrypted HTTP connections could be exposed to an attacker capable of intercepting network traffic.

  • User credentials and authentication data.
  • Intercepting unencrypted network traffic.
  • Unauthorized access or data compromise.

Operational Fix

Recommended remediation, mitigation, and detection steps

The critical vulnerability in GV-Face, which transmits sensitive credentials over unencrypted HTTP, likely falls under the purview of platform or infrastructure teams responsible for the deployment and security of authentication systems. The first practical step is to identify all instances of GV-Face, confirm their network exposure and business criticality, and then assign ownership for remediation planning.

  • Platform or infrastructure teams should own the issue.
  • Verify GV-Face network exposure and criticality.
  • Plan remediation with accountable owners.

Supplementary metadata

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Frequently asked questions

What is GV-Face?

GV-Face is a facial recognition and authentication system. It is used to manage access control and verify user identities, often functioning as a network-connected device or service within facilities that require secure entry management.

What does CWE-319 mean for CVE-2026-124600?

CWE-319 refers to Cleartext Transmission of Sensitive Information. In this CVE, it means the software sends authentication data and user credentials over unencrypted HTTP, making the information readable to anyone who can view the network traffic.

How does an attacker trigger this vulnerability?

An attacker must be able to intercept or monitor the network traffic where the GV-Face data travels. If the communication is contained within a secure, isolated segment that cannot be reached or observed by unauthorized parties, the risk of interception is reduced.

Why should I care about this if my GV-Face is internal?

Halo Surface Signal indicates that GV-Face systems often require network reachability for management and integration, which frequently leads to external or public-facing exposure. Even if internal, any device with broad network access increases the risk of interception.

What are the first steps to address this issue?

Start by identifying all instances of GV-Face in your environment to determine where they are deployed. Once located, verify their network exposure and business criticality, then coordinate with the infrastructure or platform teams responsible for the system to plan remediation.

References