Mautic up to 4.4.9 Landing Page direct request

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.
5.2$0-$5k0.00

Summaryinfo

A vulnerability has been found in Mautic up to 4.4.9 and classified as problematic. The impacted element is an unknown function of the component Landing Page Handler. This manipulation causes direct request. The identification of this vulnerability is CVE-2024-2730. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in Mautic up to 4.4.9. It has been declared as problematic. Affected by this vulnerability is an unknown part of the component Landing Page Handler. The manipulation with an unknown input leads to a direct request vulnerability. The CWE definition for the vulnerability is CWE-425. The web application does not adequately enforce appropriate authorization on all restricted URLs, scripts, or files. As an impact it is known to affect confidentiality. The summary by CVE is:

Mautic uses predictable page indices for unpublished landing pages, their content can be accessed by unauthenticated users under public preview URLs which could expose sensitive data. At the time of publication of the CVE no patch is available

It is possible to read the advisory at huntr.com. This vulnerability is known as CVE-2024-2730 since 03/20/2024. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 04/10/2024). The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.

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

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.2

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 5.3
CNA Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Direct request
CWE: CWE-425
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: 🔍

Timelineinfo

03/20/2024 🔍
04/10/2024 +20 days 🔍
04/10/2024 +0 days 🔍
04/10/2024 +0 days 🔍

Sourcesinfo

Advisory: huntr.com
Status: Not defined

CVE: CVE-2024-2730 (🔍)
GCVE (CVE): GCVE-0-2024-2730
GCVE (VulDB): GCVE-100-260179

Entryinfo

Created: 04/10/2024 16:22
Changes: 04/10/2024 16:22 (60)
Complete: 🔍
Cache ID: 216::103

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

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