AVS4YOU AVS Audio Converter 9.1 Exit folder stack-based overflow

CVSS Meta Temp Score
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CTI Interest Score
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6.6$0-$5k0.00

Summaryinfo

A vulnerability was found in AVS4YOU AVS Audio Converter 9.1. It has been classified as critical. This affects an unknown part. The manipulation of the argument Exit folder leads to stack-based overflow. This vulnerability is referenced as CVE-2019-25331. The attack can only be performed from a local environment. Furthermore, an exploit is available.

Detailsinfo

A vulnerability was found in AVS4YOU AVS Audio Converter 9.1 and classified as critical. This issue affects an unknown code block. The manipulation of the argument Exit folder with an unknown input leads to a stack-based overflow vulnerability. Using CWE to declare the problem leads to CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). Impacted is confidentiality, integrity, and availability. The summary by CVE is:

AVS Audio Converter 9.1 contains a local buffer overflow vulnerability that allows local attackers to overwrite CPU registers by manipulating the 'Exit folder' input field. Attackers can craft a specially designed text file with 264 bytes of padding followed by register overwrite values to compromise the application and potentially execute arbitrary code.

The weakness was published by ZwX as 47788. It is possible to read the advisory at exploit-db.com. The identification of this vulnerability is CVE-2019-25331 since 02/12/2026. The exploitation is known to be easy. Attacking locally is a requirement. Technical details as well as a public exploit are known.

The exploit is available at exploit-db.com. It is declared as proof-of-concept.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at Exploit-DB (47788). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

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Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.8
VulDB Meta Temp Score: 6.6

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.4
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Stack-based overflow
CWE: CWE-121 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Partially

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Exploit-DB: 🔒

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

02/12/2026 CVE reserved
02/13/2026 +1 days Advisory disclosed
02/13/2026 +0 days VulDB entry created
02/13/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: 47788
Researcher: ZwX
Status: Not defined

CVE: CVE-2019-25331 (🔒)
GCVE (CVE): GCVE-0-2019-25331
GCVE (VulDB): GCVE-100-345875
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 02/13/2026 08:05
Changes: 02/13/2026 08:05 (80)
Complete: 🔍
Cache ID: 216::103

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

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