Vulnerability Monitor

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CVE-2022-0544


An integer underflow in the DDS loader of Blender leads to an out-of-bounds read, possibly allowing an attacker to read sensitive data using a crafted DDS image file. This flaw affects Blender versions prior to 2.83.19, 2.93.8 and 3.1.


Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.5, requiring local system access to exploit with relatively low complexity though user interaction is required and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 2 products from blender, from debian organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2022, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2022-02-24T19:15:09.713

Last Modified

2026-06-17T04:20:48.767

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 5.5 (MEDIUM)

CVSSv2 Vector

AV:N/AC:H/Au:N/C:P/I:N/A:N

  • Access Vector: NETWORK
  • Access Complexity: HIGH
  • Authentication: NONE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: NONE
  • Availability Impact: NONE
Exploitability Score

4.9

Impact Score

2.9

Weaknesses
  • Type: Secondary
    CWE-191
  • Type: Primary
    CWE-191

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application blender blender < 2.83.19 Yes
Application blender blender < 2.93.8 Yes
Application blender blender < 3.1 Yes
Operating System debian debian_linux 9.0 Yes
Operating System debian debian_linux 10.0 Yes

References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For blender's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.