LogonTracer up to 1.2.0 code injection

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 (≈)
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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.
8.5$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in LogonTracer up to 1.2.0. This vulnerability affects unknown code. The manipulation leads to code injection. This vulnerability is traded as CVE-2018-16168. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in LogonTracer up to 1.2.0. It has been rated as critical. This issue affects some unknown functionality. The manipulation with an unknown input leads to a code injection vulnerability. Using CWE to declare the problem leads to CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

LogonTracer 1.2.0 and earlier allows remote attackers to conduct Python code injection attacks via unspecified vectors.

The bug was discovered 11/07/2018. The weakness was shared 01/09/2019 (Website). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2018-16168 since 08/30/2018. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 63 days. During that time the estimated underground price was around $0-$5k.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The entries VDB-128876, VDB-128877 and VDB-128878 are related to this item. Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Code injection
CWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

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: 🔍

Upgrade: github.com

Timelineinfo

08/30/2018 🔍
11/07/2018 +69 days 🔍
01/09/2019 +63 days 🔍
01/09/2019 +0 days 🔍
01/10/2019 +1 days 🔍
06/23/2023 +1625 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2018-16168 (🔍)
GCVE (CVE): GCVE-0-2018-16168
GCVE (VulDB): GCVE-100-128879
See also: 🔍

Entryinfo

Created: 01/10/2019 13:47
Updated: 06/23/2023 14:41
Changes: 01/10/2019 13:47 (55), 04/27/2020 16:02 (1), 06/23/2023 14:41 (3)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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