Saurav Sharma Generate Dummy Posts Plugin up to 1.0.0 on WordPress 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.
5.2$0-$5k0.00

Summaryinfo

A vulnerability has been found in Saurav Sharma Generate Dummy Posts Plugin up to 1.0.0 on WordPress and classified as problematic. Affected by this vulnerability is an unknown functionality. Performing a manipulation results in authorization. This vulnerability is identified as CVE-2023-46637. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability classified as problematic has been found in Saurav Sharma Generate Dummy Posts Plugin up to 1.0.0 on WordPress. This affects an unknown part. The manipulation with an unknown input leads to a authorization vulnerability. CWE is classifying the issue as CWE-862. The product does not perform an authorization check when an actor attempts to access a resource or perform an action. This is going to have an impact on integrity. The summary by CVE is:

Missing Authorization vulnerability in Saurav Sharma Generate Dummy Posts allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Generate Dummy Posts: from n/a through 1.0.0.

The weakness was released by Abdi Pranata. It is possible to read the advisory at patchstack.com. This vulnerability is uniquely identified as CVE-2023-46637 since 10/24/2023. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for 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 01/02/2025).

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: 5.3
VulDB Meta Temp Score: 5.2

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 5.3
CNA Vector (Patchstack): 🔍

CVSSv2info

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

Exploitinginfo

Class: Authorization
CWE: CWE-862 / CWE-863 / CWE-285
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

10/24/2023 🔍
01/02/2025 +436 days 🔍
01/02/2025 +0 days 🔍
01/02/2025 +0 days 🔍

Sourcesinfo

Advisory: patchstack.com
Researcher: Abdi Pranata
Status: Not defined

CVE: CVE-2023-46637 (🔍)
GCVE (CVE): GCVE-0-2023-46637
GCVE (VulDB): GCVE-100-289971

Entryinfo

Created: 01/02/2025 13:56
Changes: 01/02/2025 13:56 (63)
Complete: 🔍
Cache ID: 216::103

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

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