Oracle Banking Corporate Lending Process Management 14.4/14.5/14.6/14.7 Base deserialization

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.
8.6$0-$5k0.00

Summaryinfo

A vulnerability has been found in Oracle Banking Corporate Lending Process Management 14.4/14.5/14.6/14.7 and classified as critical. Impacted is an unknown function of the component Base. Performing a manipulation results in an unknown weakness. This vulnerability is reported as CVE-2023-25194. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as critical has been found in Oracle Banking Corporate Lending Process Management 14.4/14.5/14.6/14.7 (Banking Software). This affects an unknown part of the component Base. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was disclosed 07/18/2023 as Oracle Critical Patch Update Advisory - July 2023 as confirmed advisory (Website). The advisory is shared at oracle.com. This vulnerability is uniquely identified as CVE-2023-25194. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/04/2024).

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

The vulnerability is also documented in the vulnerability database at CNNVD (CNNVD-202302-515). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.8
VulDB Meta Temp Score: 8.6

VulDB Base Score: 8.8
VulDB Temp Score: 8.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

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

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
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: 🔍

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

Timelineinfo

02/05/2023 🔍
07/18/2023 +162 days 🔍
07/18/2023 +0 days 🔍
07/19/2023 +1 days 🔍
07/04/2024 +351 days 🔍

Sourcesinfo

Vendor: oracle.com

Advisory: Oracle Critical Patch Update Advisory - July 2023
Status: Confirmed

CVE: CVE-2023-25194 (🔍)
GCVE (CVE): GCVE-0-2023-25194
GCVE (VulDB): GCVE-100-234657
CNNVD: CNNVD-202302-515 - Apache Kafka 代码问题漏洞

Entryinfo

Created: 07/19/2023 06:37
Updated: 07/04/2024 16:19
Changes: 07/19/2023 06:37 (40), 08/11/2023 15:33 (2), 08/11/2023 15:39 (11), 07/04/2024 16:19 (20)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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