External risk intelligence

GeoVision GV-LPC Stack Buffer Overflow Vulnerability

CVE advisorySeverity: CRITICAL (CVSS 9.8)

CVE-2026-57878

The vulnerability exists in an HTTP server (thttpd) embedded within internet-capable network camera appliances. These devices are commonly deployed to be accessible via the web for remote monitoring and management, making the vulnerable service frequently exposed to the public internet.

Buffer Overflow

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

A critical vulnerability has been identified in thttpd, an embedded web server technology affecting specific GeoVision network camera models. This issue could allow remote attackers to corrupt memory, cause denial of service, or potentially execute code by sending specially crafted web requests.

Unauthenticated web requests can lead to critical system compromise.
These cameras are often internet-exposed, increasing risk.
Confirm relevance and exposure for affected devices.

Attack Path

How an attacker could exploit the issue

An unauthenticated attacker could exploit this vulnerability by sending a specially crafted web request to a vulnerable GeoVision device. The thttpd web server component, which is exposed to the network, lacks proper checks for the size of data provided in certain web request parameters. By sending an overly long input, an attacker can trigger a stack-based buffer overflow, potentially leading to memory corruption, a denial of service, or even the execution of arbitrary code.

No authentication needed.
Crafted HTTP request triggers overflow.
Memory corruption, DoS, or code execution.

Live Threat

Current exploitation, exposure, and threat context

A stack-based buffer overflow in the thttpd web server of specific GeoVision devices could allow an unauthenticated remote attacker to cause memory corruption, denial of service, or potentially execute arbitrary code. This could occur when the device is accessible via the web and receives a specially crafted HTTP request with overly long input.

Device memory and service availability.
Crafted HTTP requests to the web interface.
Denial of service or code execution.

Operational Fix

Recommended remediation, mitigation, and detection steps

This vulnerability impacts thttpd within GeoVision GV-LPC2011 and GV-LPC2211 devices. Infrastructure or platform teams responsible for managing these network-attached devices should initiate an asset inventory to locate all instances. Confirming external reachability and business criticality will help prioritize remediation efforts.

Identify and catalog affected devices.
Verify external exposure and criticality.
Plan vendor-coordinated remediation.

Supplementary metadata

CVSS vector

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.

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Frequently asked questions

What is the GeoVision GV-LPC software affected by CVE-2026-57878?

These are specialized network camera appliances, specifically models GV-LPC2011 and GV-LPC2211. They utilize an embedded, lightweight web server known as thttpd to manage camera settings and stream data over a network. This component acts as the interface for remote monitoring and administrative tasks, functioning as the bridge between the physical hardware and the network.

How does this buffer overflow vulnerability work?

This is a stack-based buffer overflow, classified as CWE-121. It happens when the software tries to write more data into a fixed-length memory buffer than it can hold. Because the thttpd server lacks sufficient bounds checking, an attacker sending an overly long input in an HTTP request causes that extra data to overwrite adjacent memory, which can crash the system or allow unauthorized commands to run.

Do I need to be authenticated to trigger this flaw?

No. The vulnerability does not require any credentials to initiate. A remote attacker can trigger the memory corruption by sending a single, specially crafted HTTP request to the device. Note that the issue is specific to how the web server processes input parameters in a specific request path; standard, well-formed web traffic does not trigger this overflow.

Why should I care about my exposure to this CVE?

According to Halo Surface Signal, this vulnerability resides in an internet-capable component (thttpd). Because these devices are frequently deployed with their management interfaces accessible via the public internet for remote monitoring, they are highly reachable. If your cameras are exposed externally, they are significantly more likely to be targeted than those restricted to an internal network.

How do I respond if I use these GeoVision cameras?

Start by identifying all GV-LPC2011 and GV-LPC2211 units in your environment to understand your inventory. Determine if these devices are reachable from the public internet. If they are, consider restricting network access while you wait for official vendor guidance and firmware updates to address the underlying code flaw.

References

www.geovision.com.tw/cyber_security.php

Written by Nicholas Merritt

Nicholas Merritt is VP of Security Solutions at Halo Security. With more than 25 years across application security, vulnerability prioritization, and offensive security, he helps teams translate threat data into practical exposure validation and remediation focus. He authors Halo Threat Intelligence CVE advisories using Halo Surface Signal and H/A/L/O context to prioritize internet-facing risk.