RegularLabs Articles Anywhere Plugin/Users Anywhere Plugin Date-sensitive Query Cache Keys 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 (≈)
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.
4.3$0-$5k2.68-

Summaryinfo

A vulnerability was found in RegularLabs Articles Anywhere Plugin and Users Anywhere Plugin. It has been classified as problematic. Affected is an unknown function of the component Date-sensitive Query Cache Keys. This manipulation causes information disclosure. This vulnerability appears as CVE-2026-65755. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability has been found in RegularLabs Articles Anywhere Plugin and Users Anywhere Plugin (unknown version) and classified as problematic. Affected by this vulnerability is an unknown code block of the component Date-sensitive Query Cache Keys. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:

Date-sensitive query cache keys did not retain a bounded time component. Cached results could remain active across future publication or expiry boundaries, potentially exposing content after it should become unavailable.

This vulnerability is known as CVE-2026-65755 since 07/22/2026. The exploitation appears to be easy. The attack can be launched remotely. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1592 for this issue.

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

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

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.3

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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

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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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

07/22/2026 CVE reserved
07/23/2026 +1 days Advisory disclosed
07/23/2026 +0 days VulDB entry created
07/23/2026 +0 days VulDB entry last update

Sourcesinfo

Status: Not defined

CVE: CVE-2026-65755 (🔒)
GCVE (CVE): GCVE-0-2026-65755
GCVE (VulDB): GCVE-100-382513

Entryinfo

Created: 07/23/2026 12:12
Changes: 07/23/2026 12:12 (50)
Complete: 🔍
Cache ID: 216::103

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

Discussion

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