Silk mes Newspapers X Plugin up to 1.0.48 on WordPress input validation

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
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8.6$0-$5k0.54+

Summaryinfo

A vulnerability was found in Silk mes Newspapers X Plugin up to 1.0.48. It has been rated as critical. This issue affects some unknown processing. Performing a manipulation results in input validation. This vulnerability is reported as CVE-2026-81779. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as critical has been found in Silk mes Newspapers X Plugin up to 1.0.48. This affects an unknown function. The manipulation with an unknown input leads to a input validation vulnerability. CWE is classifying the issue as CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Improper Validation of Specified Quantity in Input vulnerability in Silk Themes Newspapers X allows Malicious Software Implanted. This issue affects Newspapers X: from 1.0.46 through 1.0.48.

It is possible to read the advisory at patchstack.com. This vulnerability is uniquely identified as CVE-2026-81779 since 08/27/2026. 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 08/31/2026).

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: 8.6
VulDB Meta Temp Score: 8.6

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 10.0
CNA Vector (Patchstack): 🔒

CVSSv2info

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

Exploitinginfo

Class: Input validation
CWE: CWE-20
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
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

08/27/2026 CVE reserved
08/31/2026 +4 days Advisory disclosed
08/31/2026 +0 days VulDB entry created
08/31/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: patchstack.com
Status: Not defined

CVE: CVE-2026-81779 (🔒)
GCVE (CVE): GCVE-0-2026-81779
GCVE (VulDB): GCVE-100-397467

Entryinfo

Created: 08/31/2026 23:08
Changes: 08/31/2026 23:08 (62)
Complete: 🔍
Cache ID: 216::103

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

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