CVE-2026-25780

What is this vulnerability?

CVE-2026-25780 is categorized as a critical Buffer Overflow flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

Mattermost versions 11.3.x <= 11.3.0, 11.2.x <= 11.2.2, 10.11.x <= 10.11.10 fail to bound memory allocation when processing DOC files which allows an authe...

This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.

Risk Assessment

Impact on Systems

✅ Remote Code Execution: Attackers can overwrite the instruction pointer (EIP/RIP) to redirect execution to malicious shellcode.

✅ Memory Corruption: Overwriting adjacent memory regions can corrupt critical application state, leading to unpredictable privilege escalation.

✅ Denial of Service: Triggering segmentation faults and kernel panics results in immediate disruption of critical systems.

How to fix this issue?

Implement the following strategic mitigations immediately to eliminate the attack surface.

1. Memory-Safe Languages Where possible, migrate critical parsing logic to memory-safe languages like Rust or Go.

2. Safe Standard Libraries Replace unbounded C functions (strcpy, sprintf) with boundary-checking equivalents (strncpy, snprintf).

3. Compiler Defenses Ensure software is compiled with modern defensive flags: ASLR, DEP/NX, Stack Canaries (SSP), and Position Independent Executables (PIE).

Vulnerability Signature

// Vulnerable C Function
void parse_network_packet(char *untrusted_data) \{
    char local_buffer[128];
    // VULNERABLE: strcpy does not verify the length of the source data
    strcpy(local_buffer, untrusted_data);
    printf("Packet Processed.");
\}

// EXPLOIT PAYLOAD: 128 bytes of padding + [Overwrite EIP Address]

References and Sources

• NVD — CVE-2026-25780
• MITRE — CVE-2026-25780
• CWE-789 — MITRE CWE
• CWE-789 Details
• AI Code Security Vulnerabilities

Vulnerability Code Signature

Attack Data Flow

Vulnerable Code Pattern

# ❌ VULNERABLE: Unsanitized Input Flow
def process_request(request):
    user_input = request.GET.get('data')
    # Taint sink: processing untrusted data
    execute_logic(user_input)
    return {"status": "success"}

Secure Code Pattern

# ✅ SECURE: Input Validation & Sanitization
def process_request(request):
    user_input = request.GET.get('data')
    
    # Sanitized boundary check
    if not is_valid_format(user_input):
        raise ValueError("Invalid input format")
        
    sanitized_data = sanitize(user_input)
    execute_logic(sanitized_data)
    return {"status": "success"}

How Precogs Detects This

Precogs AI Analysis Engine maps untrusted input directly to execution sinks to catch complex application security vulnerabilities.\n