Oracle Java SE 7u271/8u261/11.0.8/15 Libraries 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.
Current Exploit Price (≈)
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CTI Interest Score
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3.0$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in Oracle Java SE 7u271/8u261/11.0.8/15. Affected by this vulnerability is an unknown functionality of the component Libraries. Performing a manipulation results in information disclosure. This vulnerability is identified as CVE-2020-14796. The attack can be initiated remotely. There is not any exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic has been found in Oracle Java SE 7u271/8u261/11.0.8/15 (Programming Language Software). This affects an unknown code of the component Libraries. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality.

The weakness was released 10/20/2020 as Oracle Critical Patch Update Advisory - October 2020. It is possible to read the advisory at oracle.com. This vulnerability is uniquely identified as CVE-2020-14796. The exploitability is told to be difficult. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.

The vulnerability scanner Nessus provides a plugin with the ID 208588 (CentOS 7 : java-1.8.0-ibm (RHSA-2020:5585)), which helps to determine the existence of the flaw in a target environment.

Upgrading eliminates this vulnerability. A possible mitigation has been published immediately after the disclosure of the vulnerability.

The vulnerability is also documented in the vulnerability database at Tenable (208588). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.1
VulDB Meta Temp Score: 3.0

VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 3.1
CNA Vector (Oracle): 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / 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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Nessus ID: 208588
Nessus Name: CentOS 7 : java-1.8.0-ibm (RHSA-2020:5585)

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Timelineinfo

06/19/2020 🔍
10/20/2020 +123 days 🔍
10/20/2020 +0 days 🔍
10/21/2020 +1 days 🔍
05/27/2025 +1679 days 🔍

Sourcesinfo

Vendor: oracle.com

Advisory: Oracle Critical Patch Update Advisory - October 2020
Status: Confirmed
Confirmation: 🔍

CVE: CVE-2020-14796 (🔍)
GCVE (CVE): GCVE-0-2020-14796
GCVE (VulDB): GCVE-100-163251

Entryinfo

Created: 10/21/2020 20:48
Updated: 05/27/2025 21:43
Changes: 10/21/2020 20:48 (41), 11/24/2020 14:03 (3), 11/24/2020 14:07 (8), 10/14/2024 22:30 (16), 05/04/2025 22:06 (5), 05/27/2025 21:43 (10)
Complete: 🔍
Cache ID: 216::103

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

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