Autodesk Image Import (JPG) Heap Overflow via Malicious File
CVE-2025-1275 Published on April 15, 2025

JPG File Parsing Heap-Based Overflow Vulnerability
A maliciously crafted JPG file, when linked or imported into certain Autodesk applications, can force a Heap-Based Overflow vulnerability. A malicious actor can leverage this vulnerability to cause a crash, read sensitive data, or execute arbitrary code in the context of the current process.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2025-1275 can be exploited with local system access, requires user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be very high.

Attack Vector:
LOCAL
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
REQUIRED
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
Availability Impact:
HIGH

Weakness Type

Heap-based Buffer Overflow

A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().


Products Associated with CVE-2025-1275

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2025-1275 are published in these products:

AutoDesk Autocad Mechanical
 
AutoDesk Autocad Mep
 
AutoDesk Autocad Plant 3d
 
AutoDesk Civil 3d
 
AutoDesk Advance Steel
 
AutoDesk Autocad Map 3d
 
AutoDesk Autocad Lt
 
AutoDesk Dwg Trueview
 
AutoDesk Revit
 
AutoDesk Autocad
 
AutoDesk Autocad Architecture
 
AutoDesk Autocad Electrical
 

Affected Versions

Autodesk Revit: Autodesk AutoCAD: Autodesk AutoCAD Architecture: Autodesk AutoCAD Electrical: Autodesk AutoCAD Mechanical: Autodesk AutoCAD MEP: Autodesk AutoCAD Plant 3D: Autodesk Civil 3D: Autodesk Advance Steel: Autodesk AutoCAD MAP 3D: Autodesk AutoCAD LT: Autodesk DWG TrueView:

Exploit Probability

EPSS
0.12%
Percentile
31.49%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.