Gen Digital Avast Antivirus up to 25021208 on Windows PDF File recursion

CVSS Meta Temp Score
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CTI Interest Score
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4.8$0-$5k3.20

Summaryinfo

A vulnerability was found in Gen Digital Avast Antivirus, AVG Antivirus, Norton Antivirus, Avast One and Avast Business Antivirus up to 25021208 on Windows. It has been classified as problematic. The affected element is an unknown function of the component PDF File Handler. The manipulation leads to recursion. This vulnerability is traded as CVE-2025-7010. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability, which was classified as problematic, has been found in Gen Digital Avast Antivirus, AVG Antivirus, Norton Antivirus, Avast One and Avast Business Antivirus up to 25021208 on Windows. This issue affects an unknown code block of the component PDF File Handler. The manipulation with an unknown input leads to a recursion vulnerability. Using CWE to declare the problem leads to CWE-674. The product does not properly control the amount of recursion that takes place, consuming excessive resources, such as allocated memory or the program stack. Impacted is availability. The summary by CVE is:

Stack overflow vulnerability due to uncontrolled recursion in Avast Antivirus when scanning a malformed PDF file may allow Denial-of-Service of the antivirus process. This issue affects Avast Antivirus, AVG Antivirus, Norton Antivirus, Avast One, and Avast Business Antivirus on Windows, macOS, and Linux for virus definition builds before VPS 25021208. The affected scanning logic is delivered through a shared Gen Digital virus definition update stream. The same stream feeds the consumer antivirus products listed in this advisory and other Gen Digital products that embed the same engine. Mitigation flows through this update channel; installations at or above the listed build are not vulnerable regardless of which product consumes the stream.

It is possible to read the advisory at gendigital.com. The identification of this vulnerability is CVE-2025-7010 since 07/02/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

Upgrading eliminates this vulnerability. Applying the patch 25021208 is able to eliminate this problem. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-210129). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.9
VulDB Meta Temp Score: 4.8

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 5.5
CNA Vector (GEN): 🔒

CVSSv2info

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

Exploitinginfo

Class: Recursion
CWE: CWE-674 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
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: 🔒

Patch: 25021208

Timelineinfo

07/02/2025 CVE reserved
06/13/2026 +346 days Advisory disclosed
06/13/2026 +0 days VulDB entry created
06/13/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: gendigital.com
Status: Confirmed

CVE: CVE-2025-7010 (🔒)
GCVE (CVE): GCVE-0-2025-7010
GCVE (VulDB): GCVE-100-370739
EUVD: 🔒

Entryinfo

Created: 06/13/2026 06:40
Updated: 06/13/2026 12:53
Changes: 06/13/2026 06:40 (65), 06/13/2026 12:53 (1)
Complete: 🔍
Cache ID: 216::103

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

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