Pillow up to 12.x RLE Decoder BmpImagePlugin.py BmpRleDecoder.decode denial of service
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 4.52 |
Summary
A vulnerability classified as problematic has been found in Pillow up to 12.x. Affected by this issue is the function BmpRleDecoder.decode of the file src/PIL/BmpImagePlugin.py of the component RLE Decoder. The manipulation leads to denial of service.
This vulnerability is uniquely identified as CVE-2026-96638. The attack is possible to be carried out remotely. No exploit exists.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in Pillow up to 12.x. It has been rated as problematic. This issue affects the function BmpRleDecoder.decode of the file src/PIL/BmpImagePlugin.py of the component RLE Decoder. The manipulation with an unknown input leads to a denial of service vulnerability. Using CWE to declare the problem leads to CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. Impacted is availability. The summary by CVE is:
Pillow is a Python imaging library. From 9.1.0 until 13.0.0, BmpRleDecoder.decode() in src/PIL/BmpImagePlugin.py permits crafted RLE BMP delta escapes and absolute-mode runs to append beyond the remaining dest_length without a per-branch cap. A delta can add roughly 255 image rows in one iteration, so a kilobyte-sized file with a large but permitted width can expand the data bytearray to hundreds of megabytes or more, causing memory-exhaustion denial of service. This issue is fixed in version 13.0.0.
The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-96638 since 09/23/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
Upgrading to version 13.0.0 eliminates this vulnerability.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (GitHub_M): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Denial of serviceCWE: CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Pillow 13.0.0
Timeline
09/23/2026 CVE reserved10/21/2026 Advisory disclosed
10/21/2026 VulDB entry created
10/21/2026 VulDB entry last update
Sources
Advisory: github.comStatus: Confirmed
CVE: CVE-2026-96638 (🔒)
GCVE (CVE): GCVE-0-2026-96638
GCVE (VulDB): GCVE-100-424997
Entry
Created: 10/21/2026 23:02Changes: 10/21/2026 23:02 (65)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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