CVE-2025-66628
Dec. 10, 2025, 10:16 p.m.
7.5
High
Description
ImageMagick is a software suite to create, edit, compose, or convert bitmap images. In versions 7.1.2-9 and prior, the TIM (PSX TIM) image parser contains a critical integer overflow vulnerability in its ReadTIMImage function (coders/tim.c). The code reads width and height (16-bit values) from the file header and calculates image_size = 2 * width * height without checking for overflow. On 32-bit systems (or where size_t is 32-bit), this calculation can overflow if width and height are large (e.g., 65535), wrapping around to a small value. This results in a small heap allocation via AcquireQuantumMemory and later operations relying on the dimensions can trigger an out of bounds read. This issue is fixed in version 7.1.2-10.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Imagemagick |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-125
Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | imagemagick | imagemagick | 7.1.2-9 | / | / | / | / | / | / | / |
| a | imagemagick | imagemagick | <7.1.2-10 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Timeline
Published: Dec. 10, 2025, 10:16 p.m.
Last Modified: Dec. 10, 2025, 10:16 p.m.
Last Modified: Dec. 10, 2025, 10:16 p.m.
Status : Received
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.