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Vulnerability Database/CVE-2026-57881

CVE-2026-57881: GeoVision Buffer Overflow Vulnerability

CVE-2026-57881 is a stack-based buffer overflow flaw in GeoVision GV-LPC2011 and GV-LPC2211 cameras that enables remote attackers to execute arbitrary code. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2026-57881 Overview

CVE-2026-57881 is an unauthenticated stack-based buffer overflow in the vlsvr service of GeoVision GV-LPC2011 and GV-LPC2211 license plate capture devices running firmware V1.12 and earlier. The flaw stems from insufficient length validation when the service processes remote login data. A remote attacker can send a crafted login request containing an overly long input field to corrupt the stack. Successful exploitation results in memory corruption, denial of service, or arbitrary code execution on the affected device. No authentication or user interaction is required, and the attack is reachable over the network.

Critical Impact

Remote, unauthenticated attackers can execute arbitrary code on exposed GeoVision license plate capture devices by overflowing the vlsvr login handler.

Affected Products

  • GeoVision GV-LPC2011 running firmware V1.12 and earlier
  • GeoVision GV-LPC2211 running firmware V1.12 and earlier
  • The vulnerable vlsvr network service shipped with these devices

Discovery Timeline

  • 2026-06-26 - CVE-2026-57881 published to the National Vulnerability Database
  • 2026-06-26 - Last updated in the NVD database

Technical Details for CVE-2026-57881

Vulnerability Analysis

The vulnerability resides in vlsvr, a network-facing service running on GeoVision GV-LPC2011 and GV-LPC2211 license plate capture appliances. When the service receives a remote login request, it copies attacker-supplied data into a fixed-size stack buffer without validating the input length. Supplying a login payload longer than the destination buffer overwrites adjacent stack memory, including saved return addresses and frame pointers. This condition maps to [CWE-121] Stack-based Buffer Overflow. Because vlsvr accepts connections before authentication, exploitation requires only network reachability to the device.

Root Cause

The root cause is missing bounds checking in the login data parsing routine of vlsvr. The service treats the length field or termination logic of the login structure as trusted input and copies it directly onto the stack. Firmware versions V1.12 and earlier do not enforce a maximum length before the copy operation, so oversized inputs overwrite stack metadata. Embedded devices in this class typically lack modern exploit mitigations such as stack canaries, address space layout randomization, and non-executable stacks, which increases reliability of code execution attempts.

Attack Vector

An attacker locates a reachable GV-LPC2011 or GV-LPC2211 device and initiates a TCP session to the vlsvr listener. The attacker submits a login message that includes an oversized username, password, or session field designed to overflow the target stack buffer. The overflow can redirect execution to attacker-controlled shellcode or a return-oriented programming chain hosted in the same payload. Successful exploitation yields code execution in the context of the vlsvr process, which on embedded appliances is typically a privileged account. At minimum, the corruption crashes the service and disrupts video and plate capture operations.

No public proof-of-concept exploit code has been published in the enriched data for this CVE. See the GeoVision Cyber Security Resource for vendor technical details.

Detection Methods for CVE-2026-57881

Indicators of Compromise

  • Unexpected crashes, restarts, or watchdog reboots of the vlsvr process on GV-LPC2011 or GV-LPC2211 devices.
  • Inbound TCP sessions to the vlsvr service from unrecognized external IP addresses, particularly from scanning infrastructure.
  • Login attempts containing abnormally long username, password, or session fields exceeding typical protocol limits.
  • New outbound connections initiated by the device to unknown hosts following an inbound vlsvr session.

Detection Strategies

  • Deploy network intrusion detection signatures that flag oversized fields within the GeoVision vlsvr login protocol.
  • Monitor device syslog and SNMP traps for repeated service restarts or segmentation faults tied to vlsvr.
  • Baseline normal management traffic to GeoVision devices and alert on connections from outside the expected administrative subnet.

Monitoring Recommendations

  • Forward device and network telemetry into a centralized SIEM or data lake for correlation across sessions and endpoints.
  • Alert on any Internet-sourced connection attempts to GeoVision management ports and treat them as high priority.
  • Track firmware versions across the GeoVision fleet and continuously flag any device still running V1.12 or earlier.

How to Mitigate CVE-2026-57881

Immediate Actions Required

  • Identify all GV-LPC2011 and GV-LPC2211 devices in the environment and confirm their firmware version.
  • Remove direct Internet exposure of vlsvr and any GeoVision management services immediately.
  • Restrict access to the affected devices to a dedicated management VLAN reachable only from trusted administrator hosts.
  • Apply the vendor firmware update as soon as GeoVision publishes a fixed release for these models.

Patch Information

GeoVision publishes firmware updates and advisories on the GeoVision Cyber Security Resource page. Administrators should install any firmware release later than V1.12 that addresses this stack-based buffer overflow in vlsvr and validate the update on a representative device before mass deployment.

Workarounds

  • Place affected devices behind a firewall that blocks all inbound access to the vlsvr service except from authorized management addresses.
  • Disable remote login functionality on the device where operationally feasible until a patched firmware is applied.
  • Use a VPN or jump host for administrative access rather than exposing device management ports directly.
  • Monitor the vlsvr service for crashes and configure automatic isolation of any device exhibiting overflow indicators.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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