fraudlabspro FraudLabs Pro for WooCommerce Plugin up to 2.22.11 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 (≈)
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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.
5.2$0-$5k0.00

Summaryinfo

A vulnerability was found in fraudlabspro FraudLabs Pro for WooCommerce Plugin up to 2.22.11 on WordPress. It has been rated as problematic. The impacted element is an unknown function. This manipulation causes authorization. This vulnerability is registered as CVE-2025-49320. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability has been found in fraudlabspro FraudLabs Pro for WooCommerce Plugin up to 2.22.11 on WordPress and classified as problematic. Affected by this vulnerability is an unknown function. The manipulation with an unknown input leads to a authorization vulnerability. The CWE definition for the vulnerability is CWE-862. The product does not perform an authorization check when an actor attempts to access a resource or perform an action. As an impact it is known to affect integrity. The summary by CVE is:

Missing Authorization vulnerability in fraudlabspro FraudLabs Pro for WooCommerce allows Exploiting Incorrectly Configured Access Control Security Levels. This issue affects FraudLabs Pro for WooCommerce: from n/a through 2.22.11.

The weakness was published by Ch4r0n. It is possible to read the advisory at patchstack.com. This vulnerability is known as CVE-2025-49320 since 06/04/2025. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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 06/07/2025).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-17251). 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

06/04/2025 🔍
06/06/2025 +2 days 🔍
06/06/2025 +0 days 🔍
06/07/2025 +1 days 🔍

Sourcesinfo

Advisory: patchstack.com
Researcher: Ch4r0n
Status: Not defined

CVE: CVE-2025-49320 (🔍)
GCVE (CVE): GCVE-0-2025-49320
GCVE (VulDB): GCVE-100-311395
EUVD: 🔍

Entryinfo

Created: 06/06/2025 15:15
Updated: 06/07/2025 05:57
Changes: 06/06/2025 15:15 (63), 06/07/2025 05:57 (1)
Complete: 🔍
Cache ID: 216::103

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

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