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CVE-2024-39949

CVE-2024-39949 Denial of Service in Dahua
📅 PUBLISHED: 2024-07-31 03:42 UTC 🔄 UPDATED: 2026-09-23 20:20 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.56%
👁️
0.56% probability
14.0× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
VULNERABLE: version not auto-detected — verify your deployed version locally
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
7.5
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2024-39949 is a high-severity vulnerability affecting Dahua products. The flaw allows an unauthenticated, network-based attacker to send specially crafted data packets to a vulnerable interface, causing the device to crash. This results in a denial of service (DoS) condition, impacting the availability of the device. The vulnerability has a CVSS score of 7.5, indicating a significant risk to operational continuity. No public proof-of-concept (PoC) or exploit code is currently available, and the patch status remains unknown. This report provides a comprehensive technical analysis, detection guidance, and mitigation strategies.

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CVSS Breakdown & Threat Level

  • CVSS Score: 7.5 (High)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
  • Attack Vector (AV): Network – The vulnerability is exploitable remotely over the network.
  • Attack Complexity (AC): Low – No special conditions or complex attack sequences are required.
  • Privileges Required (PR): None – No authentication is needed to exploit the vulnerability.
  • User Interaction (UI): None – The attack does not require any user action.
  • Scope (S): Unchanged – The impact is confined to the vulnerable component.
  • Confidentiality (C): None – No data is exposed.
  • Integrity (I): None – No data is altered.
  • Availability (A): High – The attack causes a complete device crash, leading to a denial of service.

Threat Level: High. The ease of exploitation (network-based, no authentication) and the direct impact on device availability make this a critical concern for organizations using Dahua products.

Deep Dive & Mechanics

The vulnerability resides in the handling of network packets by Dahua devices. The exact vulnerable interface is not publicly disclosed, but it is likely a service that processes incoming data, such as a web server, API endpoint, or a proprietary protocol handler.

Attack Mechanism:

  1. Crafting the Payload: The attacker creates a data packet that deviates from the expected protocol format. This could involve malformed headers, unexpected data lengths, or specific byte sequences that trigger a parsing error.
  2. Transmission: The crafted packet is sent to the target Dahua device's IP address and the vulnerable port.
  3. Processing: The device's firmware attempts to parse the incoming data. Due to insufficient input validation (CWE-20), the malformed packet causes a buffer overflow, null pointer dereference, or an infinite loop.
  4. Crash: The parsing error leads to a system-level fault, causing the device's operating system or the affected service to crash. This results in a complete loss of functionality until the device is manually rebooted or automatically restarted (if watchdog functionality is present).

Root Cause: The lack of proper input validation and sanitization in the packet processing logic. The firmware does not adequately check the structure or content of incoming data before attempting to process it.

Vulnerable vs. Patched Code

Since no patch or specific version information is available, a direct code comparison cannot be made. However, based on the vulnerability type (DoS via crafted packets), the following general differences would be expected:

Vulnerable Code (Conceptual):

void process_packet(char *data, int length) {
    // No length check
    char buffer[1024];
    memcpy(buffer, data, length); // Potential buffer overflow
    // ... further processing
}

Patched Code (Conceptual):

void process_packet(char *data, int length) {
    char buffer[1024];
    if (length > sizeof(buffer)) {
        // Reject oversized packet
        return;
    }
    memcpy(buffer, data, length);
    // ... further processing with bounds checking
}

The patched version would include rigorous input validation, such as:

  • Checking packet lengths against buffer sizes.
  • Validating data types and ranges.
  • Implementing proper error handling and graceful degradation instead of crashing.

Exploitation & Lab Setup

Red Team (Offensive) Perspective:

Since no public exploit code is available, the following is a conceptual approach for testing in a controlled lab environment.

  1. Lab Setup:

    • Target: A Dahua device (e.g., a network camera or NVR) with the vulnerable firmware.
    • Attacker: A Kali Linux machine on the same network segment.
    • Network: Isolated lab network to prevent accidental impact on production systems.
  2. Reconnaissance:

    • Use Nmap to identify Dahua devices: nmap -p 80,443,554,37777,5000 <target_ip>
    • Identify the web interface and any custom ports.
  3. Fuzzing:

    • Use a fuzzing tool like boofuzz or AFL to send malformed packets to identified services.
    • Example using netcat to send a large payload to a web server:
      python3 -c "print('A'*10000)" | nc <target_ip> 80
      
  4. Exploit Development (Conceptual):

    • Monitor the device's behavior (e.g., ping loss, web interface unresponsiveness).
    • If a crash is observed, capture the triggering packet using Wireshark.
    • Refine the payload to reliably cause a crash.

Blue Team (Defensive) Perspective:

  1. Detection:

    • Monitor network traffic for anomalous packets targeting Dahua devices.
    • Look for patterns of malformed HTTP requests or unusual data lengths on custom ports.
    • Implement the detection rules provided in the "Detection Engineering" section.
  2. Mitigation:

    • Isolate Dahua devices on a separate VLAN with strict firewall rules.
    • Disable unnecessary services and ports.
    • Implement network intrusion prevention systems (IPS) to block malicious traffic.
  3. Response:

    • If a crash is detected, immediately isolate the affected device.
    • Collect logs and network captures for forensic analysis.
    • Reboot the device and apply any available firmware updates.

Indicators of Compromise (IOCs)

  • Network IOCs:

    • Unusually large or malformed packets sent to ports commonly used by Dahua devices (e.g., 80, 443, 554, 37777, 5000).
    • Repeated connection attempts from a single source IP to a Dahua device.
    • ICMP unreachable messages from the device after a crash.
  • Host IOCs (on the Dahua device):

    • Device becomes unresponsive to ping or web requests.
    • System logs showing kernel panics or service crashes.
    • Unexpected reboots.
  • Log Examples:

    • kernel: [12345.678] BUG: unable to handle kernel NULL pointer dereference at 0000000000000000
    • systemd: [service_name] main process exited, code=killed, status=11/SEGV

Detection Engineering

YARA Rule

rule CVE_2024_39949_Dahua_DoS_Packet {
    meta:
        description = "Detects potential exploit attempts for CVE-2024-39949 targeting Dahua devices"
        author = "Valters IT"
        date = "2024-01-01"
        reference = "CVE-2024-39949"
        hash = "unknown"
    strings:
        $malformed_http = /(GET|POST|PUT).{0,100}\x00{4,}/ nocase
        $large_payload = { 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 } // 16 'A's
        $dahua_header = "Dahua" ascii wide nocase
    condition:
        $dahua_header and ($malformed_http or #large_payload > 100)
}

Sigma Rule

title: CVE-2024-39949 Dahua DoS Exploit Attempt
id: 12345678-1234-1234-1234-123456789012
status: experimental
description: Detects network traffic patterns associated with CVE-2024-39949
author: Valters IT
date: 2024/01/01
references:
    - https://nvd.nist.gov/vuln/detail/CVE-2024-39949
logsource:
    category: network_connection
    product: suricata
detection:
    selection:
        dest_port:
            - 80
            - 443
            - 554
            - 37777
            - 5000
        payload_length: '> 10000'
    condition: selection
falsepositives:
    - Legitimate large data transfers (e.g., video streaming)
level: high

Suricata Rule

alert tcp $EXTERNAL_NET any -> $HOME_NET [80,443,554,37777,5000] (msg:"CVE-2024-39949 Dahua DoS Exploit Attempt"; flow:to_server,established; content:"Dahua"; nocase; pcre:"/^.{0,100}\x00{4,}/R"; threshold: type both, track by_src, count 5, seconds 60; classtype:attempted-dos; sid:1000001; rev:1;)

Remediation & Mitigation

  1. Immediate Actions:

    • Isolate Devices: Place all Dahua devices on a dedicated VLAN with strict access control lists (ACLs) to limit exposure.
    • Disable Unused Services: Turn off any services not required for operation (e.g., Telnet, UPnP).
    • Firewall Rules: Block inbound traffic to vulnerable ports from untrusted networks.
  2. Vendor Communication:

    • Contact Dahua support for information on firmware updates or patches.
    • Monitor the Dahua security advisory page for official announcements.
  3. Long-Term Mitigation:

    • Firmware Updates: Apply patches as soon as they become available.
    • Network Segmentation: Implement a zero-trust network architecture where IoT devices are isolated.
    • Intrusion Prevention: Deploy an IPS with signatures to detect and block exploit attempts.
    • Monitoring: Continuously monitor device logs and network traffic for signs of exploitation.
  4. Workarounds (if patching is not possible):

    • Use a reverse proxy or web application firewall (WAF) to inspect and sanitize traffic before it reaches the Dahua device.
    • Implement rate limiting to reduce the impact of DoS attempts.

Valters IT Signature: This report is provided for educational and defensive purposes. The information herein is based on publicly available data and analysis. Organizations should verify the applicability of these recommendations to their specific environment.

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2024-39949/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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