River Past Video Cleaner 7.6.3 Lame_enc.dll out-of-bounds write

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.6$0-$5k1.18-

Summaryinfo

A vulnerability identified as critical has been detected in River Past Video Cleaner 7.6.3. This issue affects some unknown processing in the library Lame_enc.dll. The manipulation leads to out-of-bounds write. This vulnerability is traded as CVE-2019-25670. An attack has to be approached locally. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability was found in River Past Video Cleaner 7.6.3 and classified as critical. This issue affects some unknown functionality in the library Lame_enc.dll. The manipulation with an unknown input leads to a out-of-bounds write vulnerability. Using CWE to declare the problem leads to CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

River Past Video Cleaner 7.6.3 contains a structured exception handler buffer overflow vulnerability that allows local attackers to execute arbitrary code by supplying a malicious string in the Lame_enc.dll field. Attackers can craft a payload with 280 bytes of padding, a next structured exception handler override, and shellcode to trigger code execution when the application processes the input.

The weakness was shared by crash_manucoot as 46346. The advisory is shared at exploit-db.com. The identification of this vulnerability is CVE-2019-25670 since 04/05/2026. The exploitation is known to be easy. An attack has to be approached locally. 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 (46346). If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Vendor

Name

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

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

Exploitinginfo

Class: Out-of-bounds write
CWE: CWE-787 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

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

04/05/2026 CVE reserved
04/06/2026 +1 days Advisory disclosed
04/06/2026 +0 days VulDB entry created
04/06/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: 46346
Researcher: crash_manucoot
Status: Not defined

CVE: CVE-2019-25670 (🔒)
GCVE (CVE): GCVE-0-2019-25670
GCVE (VulDB): GCVE-100-355469
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 04/06/2026 08:08
Changes: 04/06/2026 08:08 (80)
Complete: 🔍
Cache ID: 216:D3E:103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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