Mini-stream RM Downloader 2.50.60 2006.06.23 Load buffer 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 Mini-stream RM Downloader 2.50.60 2006.06.23. It has been classified as critical. Impacted is an unknown function. This manipulation of the argument Load causes buffer overflow. The identification of this vulnerability is CVE-2020-37036. The attack can only be executed locally. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability has been found in Mini-stream RM Downloader 2.50.60 2006.06.23 and classified as critical. Affected by this vulnerability is an unknown code block. The manipulation of the argument Load with an unknown input leads to a buffer overflow vulnerability. The CWE definition for the vulnerability is CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

RM Downloader 2.50.60 contains a local buffer overflow vulnerability in the 'Load' parameter that allows attackers to execute arbitrary code by overwriting memory. Attackers can craft a malicious payload with an egg hunter technique to bypass memory protections and execute commands like launching calc.exe.

The weakness was shared by Paras Bhatia as 48628. It is possible to read the advisory at exploit-db.com. This vulnerability is known as CVE-2020-37036 since 01/28/2026. The exploitation appears to be easy. Attacking locally is a requirement. Technical details and also a public exploit are known.

It is possible to download the exploit 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 databases at Exploit-DB (48628) and EUVD (EUVD-2020-30941). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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

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

Exploitinginfo

Class: Buffer overflow
CWE: CWE-120 / 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

01/28/2026 CVE reserved
01/31/2026 +3 days Advisory disclosed
01/31/2026 +0 days VulDB entry created
01/31/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: 48628
Researcher: Paras Bhatia
Status: Not defined

CVE: CVE-2020-37036 (🔒)
GCVE (CVE): GCVE-0-2020-37036
GCVE (VulDB): GCVE-100-343579
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 01/31/2026 03:32
Updated: 01/31/2026 12:22
Changes: 01/31/2026 03:32 (80), 01/31/2026 12:22 (1)
Complete: 🔍
Cache ID: 216::103

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

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