Gen Digital Avast Antivirus up to 25021208 on Windows PDF File recursion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 3.20 |
Summary
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.
Details
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.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.9VulDB 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): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: RecursionCWE: 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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Patch: 25021208
Timeline
07/02/2025 CVE reserved06/13/2026 Advisory disclosed
06/13/2026 VulDB entry created
06/13/2026 VulDB entry last update
Sources
Advisory: gendigital.comStatus: Confirmed
CVE: CVE-2025-7010 (🔒)
GCVE (CVE): GCVE-0-2025-7010
GCVE (VulDB): GCVE-100-370739
EUVD: 🔒
Entry
Created: 06/13/2026 06:40Updated: 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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