Pillow up to 12.x TIFF _decodeTile missing initialization

CVSS Meta Temp Score
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CTI Interest Score
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5.1$0-$5k3.15

Summaryinfo

A vulnerability was found in Pillow up to 12.x. It has been rated as problematic. Affected by this issue is the function _decodeTile of the component TIFF Handler. The manipulation leads to missing initialization. This vulnerability is referenced as CVE-2026-112897. Remote exploitation of the attack is possible. No exploit is available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability was found in Pillow up to 12.x and classified as problematic. This issue affects the function _decodeTile of the component TIFF Handler. The manipulation with an unknown input leads to a missing initialization vulnerability. Using CWE to declare the problem leads to CWE-456. The product does not initialize critical variables, which causes the execution environment to use unexpected values. Impacted is confidentiality. The summary by CVE is:

Pillow is a Python imaging library. From 5.3.0 until 13.0.0, Pillow can return uninitialized memory as pixels when libtiff performs a short decode of JPEG-compressed or Group 4 fax TIFF data. The _decodeStrip and _decodeTile buffers can be larger than the bytes written by libtiff, but Pillow converts the expected rows without clearing the unwritten tail. The tile path is affected from 5.3.0 and the strip path from 6.0.0. An attacker can supply a crafted TIFF to an application that loads and returns or re-encodes its pixels. This can disclose stale heap contents without memory corruption or a process crash. This issue is fixed in version 13.0.0.

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-112897 since 10/19/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 13.0.0 eliminates this vulnerability.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.1

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Missing initialization
CWE: CWE-456 / CWE-453
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: Pillow 13.0.0

Timelineinfo

10/19/2026 CVE reserved
10/19/2026 +0 days VulDB entry created
10/20/2026 +0 days Advisory disclosed
10/20/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-112897 (🔒)
GCVE (CVE): GCVE-0-2026-112897
GCVE (VulDB): GCVE-100-422555

Entryinfo

Created: 10/20/2026 00:28
Changes: 10/20/2026 00:28 (67)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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