RC addMeByRC

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
4.9$0-$5k0.00

Summaryinfo

A vulnerability was found in RC. It has been rated as problematic. Affected by this issue is the function addMeByRC. This manipulation causes an unknown weakness. This vulnerability is handled as CVE-2020-17753. The attack can be initiated remotely. Additionally, an exploit exists.

Detailsinfo

A vulnerability was found in RC (version unknown). It has been declared as problematic. As an impact it is known to affect integrity, and availability.

The weakness was released 06/25/2021. The advisory is shared at github.com. This vulnerability is known as CVE-2020-17753. Technical details and also a public exploit are known.

It is possible to download the exploit at github.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.

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

Productinfo

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 4.9

VulDB Base Score: 5.4
VulDB Temp Score: 4.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Unknown
CWE: Unknown
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

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

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/13/2020 🔍
06/25/2021 +316 days 🔍
06/25/2021 +0 days 🔍
07/02/2021 +7 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2020-17753 (🔍)
GCVE (CVE): GCVE-0-2020-17753
GCVE (VulDB): GCVE-100-177541
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 06/25/2021 10:25
Updated: 07/02/2021 08:09
Changes: 06/25/2021 10:25 (35), 07/02/2021 08:09 (2)
Complete: 🔍
Cache ID: 216::103

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

Discussion

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