CVE-2026-57874: GeoVision Camera Buffer Overflow Denial of Service

Technical summary

The vulnerability resides in the IEEE8021x_upload.cgi script, which processes multipart form-data uploads. The application fails to properly validate the length of filename parameters before copying them into a fixed-size buffer on the stack or heap, allowing an attacker to overflow the buffer with arbitrary data. This memory corruption triggers either a crash (denial of service) or potential code execution depending on the memory layout and protection mechanisms in place. The lack of authentication requirements means the attack surface is the entire network interface—no login is needed. The CVSS 3.1 vector (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H) reflects network-accessible attack requiring no special conditions, with high impact to availability.

Business impact

Affected GeoVision camera systems will become unresponsive when exploited, breaking video surveillance feeds and alerting workflows. In enterprises relying on continuous surveillance for physical security, this translates to blind spots in monitoring coverage. Repeated attacks could create a denial-of-service condition requiring manual device reboots to restore service. Organizations with these devices as part of critical infrastructure (e.g., retail, banking, government facilities) face operational disruption and potential compliance violations if surveillance is mandated by regulation.

Affected systems

GeoVision GV-LPC2011 and GV-LPC2211 network camera devices running firmware version 1.12 and earlier are vulnerable. The vulnerability is unauthenticated, so any device accessible on the network (whether internal or exposed) can be targeted. Organizations should inventory their GeoVision deployments and check firmware versions against this list.

Exploitability

Exploitability is high. The attack requires no authentication, no user interaction, and no special conditions beyond network connectivity to the device's HTTP interface. An attacker can craft an upload request using basic HTTP tooling or a script; no sophisticated exploit development is necessary. The straightforward nature of buffer overflow attacks via long input strings means proof-of-concept code is trivial, and weaponization risk is substantial. However, practical exploitation requires knowledge of the device's network location and accessibility.

Remediation

Firmware updates from GeoVision that patch the input validation in IEEE8021x_upload.cgi are the primary remediation. Verify the specific patched version numbers in the official GeoVision advisory for your exact device model. As an interim measure, restrict network access to the web management interface of affected cameras using firewall rules or network segmentation, limiting uploads to trusted administrative systems only. Disable remote upload functionality if not operationally necessary.

Patch guidance

Contact GeoVision support or check their security advisory portal for firmware versions later than 1.12 for GV-LPC2011 and GV-LPC2211 models. Verify patch version numbers against the vendor advisory before deployment. Most organizations benefit from centralized firmware management tools or staged rollouts to test compatibility with their specific network environment before full deployment. Document the pre- and post-patch firmware versions for audit and compliance purposes.

Detection guidance

Monitor for HTTP POST requests to IEEE8021x_upload.cgi endpoints on your network. Flag requests with abnormally long Content-Disposition or filename parameters (hundreds or thousands of bytes). Look for spikes in HTTP 400/500 errors from camera devices, which may indicate crash attempts. Network IDS/IPS signatures targeting buffer overflow patterns in multipart form uploads can detect attack attempts in transit. Examine camera logs for failed upload requests or unexpected restarts that correlate with suspicious network activity.

Why prioritize this

This vulnerability merits rapid patching because it is unauthenticated, network-accessible, and directly impacts availability. While it does not enable data compromise or code execution (based on current evidence), denial-of-service attacks on surveillance infrastructure can have serious operational and security consequences. The ease of exploitation and high CVSS score (7.5) justify treating this as a near-term remediation priority, especially for cameras in security-sensitive roles.

Risk score, explained

The CVSS 3.1 score of 7.5 (HIGH) reflects an unauthenticated, easily accessible network attack vector with no prerequisites and high impact on availability. The vector shows no confidentiality or integrity risk (C:N, I:N), but availability impact is high (A:H) because the DoS condition directly disrupts surveillance operations. The score does not account for context-specific business risk (e.g., a camera monitoring a critical entrance may carry elevated risk), so organizations should adjust their internal risk rating based on the role and placement of affected devices.

Frequently asked questions