AVS4YOU AVS Audio Converter 9.1 Exit folder stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
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.
Details
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.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.8VulDB 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): 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Stack-based overflowCWE: 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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
02/12/2026 CVE reserved02/13/2026 Advisory disclosed
02/13/2026 VulDB entry created
02/13/2026 VulDB entry last update
Sources
Advisory: 47788Researcher: 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
Entry
Created: 02/13/2026 08:05Changes: 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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