VDB-89457 · Nessus 12128 · SBV-4139

Agobot.FO backdoor

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.
9.6$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Agobot.FO. Impacted is an unknown function. Performing a manipulation results in backdoor. No exploit exists. It is advisable to modify the configuration settings.

Detailsinfo

A vulnerability was found in Agobot.FO (the affected version is unknown). It has been classified as very critical. This affects an unknown code. The manipulation with an unknown input leads to a backdoor vulnerability. CWE is classifying the issue as CWE-912. The product contains functionality that is not documented, not part of the specification, and not accessible through an interface or command sequence that is obvious to the product's users or administrators. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was disclosed 01/01/2004. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 02/27/2019). MITRE ATT&CK project uses the attack technique T1588.001 for this issue.

The vulnerability scanner Nessus provides a plugin with the ID 12128 (Agobot.FO Backdoor Detection), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Backdoors and running in the context r.

It is possible to mitigate the problem by applying the configuration setting .

The vulnerability is also documented in the databases at Tenable (12128) and Vulnerability Center (SBV-4139†). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.6

VulDB Base Score: 9.8
VulDB Temp Score: 9.6
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: Backdoor
CWE: CWE-912
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 12128
Nessus Name: Agobot.FO Backdoor Detection
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Config
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/01/2004 🔍
01/01/2004 +0 days 🔍
04/05/2004 +95 days 🔍
04/14/2004 +9 days 🔍
07/15/2016 +4475 days 🔍
02/27/2019 +957 days 🔍

Sourcesinfo

Status: Not defined

GCVE (VulDB): GCVE-100-89457
Vulnerability Center: 4139 - Agobot.FO backdoor is Installed, High

Entryinfo

Created: 07/16/2016 00:23
Updated: 02/27/2019 11:53
Changes: 07/16/2016 00:23 (32), 02/27/2019 11:53 (12)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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