MTab Bookmark up to 1.2.6 Installation public/install.php access control

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.
5.6$0-$5k0.00

Summaryinfo

A vulnerability classified as critical has been found in MTab Bookmark up to 1.2.6. This vulnerability affects unknown code of the file public/install.php of the component Installation. The manipulation leads to access control. This vulnerability is referenced as CVE-2023-7193. Furthermore, an exploit is available. The vendor was contacted early about this disclosure but did not respond in any way.

Detailsinfo

A vulnerability was found in MTab Bookmark up to 1.2.6 and classified as critical. This issue affects some unknown processing of the file public/install.php of the component Installation. The manipulation with an unknown input leads to a access control vulnerability. Using CWE to declare the problem leads to CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. Impacted is confidentiality, integrity, and availability.

The weakness was published 12/30/2023. It is possible to read the advisory at note.zhaoj.in. The identification of this vulnerability is CVE-2023-7193. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.

The exploit is available at note.zhaoj.in. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way. By approaching the search of inurl:public/install.php it is possible to find vulnerable targets with Google Hacking.

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

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: 🔍

CVSSv3info

VulDB Meta Base Score: 5.8
VulDB Meta Temp Score: 5.6

VulDB Base Score: 4.6
VulDB Temp Score: 4.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.1
NVD Vector: 🔍

CNA Base Score: 4.6
CNA Vector (VulDB): 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Access control
CWE: CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

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

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

12/30/2023 🔍
12/30/2023 +0 days 🔍
12/30/2023 +0 days 🔍
01/22/2024 +23 days 🔍

Sourcesinfo

Advisory: note.zhaoj.in
Status: Not defined

CVE: CVE-2023-7193 (🔍)
GCVE (CVE): GCVE-0-2023-7193
GCVE (VulDB): GCVE-100-249395
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 12/30/2023 21:41
Updated: 01/22/2024 08:52
Changes: 12/30/2023 21:41 (42), 01/22/2024 08:50 (2), 01/22/2024 08:52 (28)
Complete: 🔍
Submitter: glzjin
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #257953: MTab MTab ≤1.2.6 Improper Access Control (by glzjin)

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

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