Oracle Communications User Data Repository 12.4.0 Platform data authenticity

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
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.
9.6$5k-$25k0.00

Summaryinfo

A vulnerability was found in Oracle Communications User Data Repository 12.4.0. It has been classified as very critical. Affected is an unknown function of the component Platform. Performing a manipulation results in an unknown weakness. This vulnerability is cataloged as CVE-2022-31813. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as very critical has been found in Oracle Communications User Data Repository 12.4.0 (Cloud Software). This affects an unknown code block of the component Platform. CWE is classifying the issue as CWE-345. The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data. This is going to have an impact on confidentiality, integrity, and availability.

The weakness was shared 10/19/2022 as Oracle Critical Patch Update Advisory - October 2022. It is possible to read the advisory at oracle.com. This vulnerability is uniquely identified as CVE-2022-31813. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 08/11/2025).

We expect the 0-day to have been worth approximately $25k-$100k. The vulnerability scanner Nessus provides a plugin with the ID 247826 (TencentOS Server 2: httpd (TSSA-2025:0526)), which helps to determine the existence of the flaw in a target environment.

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

The vulnerability is also documented in the vulnerability database at Tenable (247826). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.6

VulDB Base Score: 9.8
VulDB Temp Score: 9.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Data authenticity
CWE: CWE-345
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: 247826
Nessus Name: TencentOS Server 2: httpd (TSSA-2025:0526)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

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

Timelineinfo

05/30/2022 🔍
10/19/2022 +142 days 🔍
10/19/2022 +0 days 🔍
10/19/2022 +0 days 🔍
08/11/2025 +1027 days 🔍

Sourcesinfo

Vendor: oracle.com

Advisory: Oracle Critical Patch Update Advisory - October 2022
Status: Confirmed

CVE: CVE-2022-31813 (🔍)
GCVE (CVE): GCVE-0-2022-31813
GCVE (VulDB): GCVE-100-211419

Entryinfo

Created: 10/19/2022 08:29
Updated: 08/11/2025 23:47
Changes: 10/19/2022 08:29 (38), 11/10/2022 23:13 (2), 11/10/2022 23:25 (19), 05/01/2025 20:18 (15), 08/11/2025 23:47 (2)
Complete: 🔍
Cache ID: 216::103

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

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