dom4.j SAXReader up to 2.1.4 setFeature information disclosure

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.
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CTI Interest Score
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5.9$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in dom4.j SAXReader up to 2.1.4. Affected by this vulnerability is the function setFeature. This manipulation causes information disclosure. This vulnerability is handled as CVE-2023-45960. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in dom4.j SAXReader up to 2.1.4. It has been declared as problematic. Affected by this vulnerability is the function setFeature. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

An issue in dom4.j org.dom4.io.SAXReader v.2.1.4 and before allows a remote attacker to obtain sensitive information via the setFeature function.

The weakness was released 10/25/2023. This vulnerability is known as CVE-2023-45960 since 10/16/2023. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1592 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

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.9

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined
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

10/16/2023 🔍
10/25/2023 +9 days 🔍
10/25/2023 +0 days 🔍
11/16/2023 +22 days 🔍

Sourcesinfo

Status: Not defined

CVE: CVE-2023-45960 (🔍)
GCVE (CVE): GCVE-0-2023-45960
GCVE (VulDB): GCVE-100-243331

Entryinfo

Created: 10/25/2023 12:17
Updated: 11/16/2023 08:10
Changes: 10/25/2023 12:17 (37), 11/16/2023 08:04 (1), 11/16/2023 08:10 (11)
Complete: 🔍
Cache ID: 216::103

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

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