Impronta Janto Ticketing Software 4.3r10.cks authorization

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.
6.4$0-$5k0.00

Summaryinfo

A vulnerability classified as problematic has been found in Impronta Janto Ticketing Software 4.3r10.cks. Affected is an unknown function. The manipulation leads to authorization. This vulnerability is traded as CVE-2024-4537. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in Impronta Janto Ticketing Software 4.3r10.cks. It has been rated as problematic. This issue affects some unknown processing. The manipulation with an unknown input leads to a authorization vulnerability. Using CWE to declare the problem leads to CWE-639. The system's authorization functionality does not prevent one user from gaining access to another user's data or record by modifying the key value identifying the data. Impacted is confidentiality. The summary by CVE is:

IDOR vulnerability in Janto Ticketing Software affecting version 4.3r10. This vulnerability could allow a remote user to obtain the download URL of another user to obtain the purchased ticket.

The weakness was shared by Alejandro Amorín Niño. It is possible to read the advisory at incibe.es. The identification of this vulnerability is CVE-2024-4537 since 05/06/2024. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/07/2024).

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

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.4

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

CNA Base Score: 7.5
CNA Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Authorization
CWE: CWE-639 / CWE-285 / CWE-266
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

05/06/2024 🔍
05/07/2024 +1 days 🔍
05/07/2024 +0 days 🔍
05/07/2024 +0 days 🔍

Sourcesinfo

Advisory: incibe.es
Researcher: Alejandro Amorín Niño
Status: Not defined

CVE: CVE-2024-4537 (🔍)
GCVE (CVE): GCVE-0-2024-4537
GCVE (VulDB): GCVE-100-263339

Entryinfo

Created: 05/07/2024 18:31
Changes: 05/07/2024 18:31 (61)
Complete: 🔍
Cache ID: 216::103

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

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