PatchSiren cyber security CVE debrief
CVE-2025-7017 Gen Digital CVE debrief
A heap buffer out-of-bounds read vulnerability was discovered in the Avira Antivirus engine when scanning a malformed Windows MSI file. This issue, tracked as CVE-2025-7017, may allow for Local Execution of Code or Denial-of-Service of the antivirus engine process. The vulnerability affects Avira Antivirus on Windows, macOS, and Linux for engine builds before 8.3.70.56. The CVSS score for this vulnerability is 7.8, indicating a High severity level.
- Vendor
- Gen Digital
- Product
- Avira Antivirus
- CVSS
- HIGH 7.8
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-06-12
- Original CVE updated
- 2026-06-15
- Advisory published
- 2026-06-12
- Advisory updated
- 2026-06-15
Who should care
Users of Avira Antivirus on Windows, macOS, and Linux with engine builds before 8.3.70.56 should apply the necessary updates to mitigate this vulnerability.
Technical summary
The vulnerability is caused by a heap buffer out-of-bounds read in the Avira Antivirus engine when processing a malformed Windows MSI file. This could potentially lead to local code execution or a denial-of-service condition.
Defensive priority
High
Recommended defensive actions
- Update Avira Antivirus to engine build 8.3.70.56 or later.
Evidence notes
The CVE record and details were obtained from official sources.
Sources and references
Verified primary and authoritative sources
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CVE-2025-7017 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2025-7017
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2025-7017 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2025-7017
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://www.gendigital.com/us/en/contact-us/security-advisories/
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.