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CVE-2022-1916 (GCVE-0-2022-1916)

Vulnerability from cvelistv5 – Published: 2022-06-27 08:58 – Updated: 2024-08-03 00:17
VLAI Shadowserver Previdian
Title
Active Products Tables for WooCommerce < 1.0.5 - Reflected Cross-Site-Scripting
Summary
The Active Products Tables for WooCommerce. Professional products tables for WooCommerce store WordPress plugin before 1.0.5 does not sanitise and escape a parameter before outputting it back in the response of an AJAX action (available to both unauthenticated and authenticated users), leading to a Reflected cross-Site Scripting
Severity
6.1 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
CWE
  • CWE-79 - Cross-site Scripting (XSS)
Assigner
References
Impacted products
Credits
cydave
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 92f79167-c74c-46d2-ab9e-4e64ad40d617

Vulnerability ID: CVE-2022-1916

Status: Confirmed

Status Updated: 2026-07-15 00:00 UTC

Exploited: Yes

Characteristics
Severity: 61.0
Timestamps
First Seen: 2023-10-23
Asserted: 2023-10-23
Last Seen: 2026-07-15
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Wordpress / Wordpress Active Products Tables for WooCommerce | Class: cms | Severity: Medium (CVSS 6.1) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-07-15: 2
Evidence

Type: Honeypot

Signal: In The Wild Attempts

Confidence: 70%

Source: shadowserver

Details
1D 1
Iot no
Feed Shadowserver Foundation honeypot/exploited-vulnerabilities
Type http-scan
Class cms
7D Avg 0
Vendor Wordpress
30D Avg 0
90D Avg 0
Product Wordpress Active Products Tables for WooCommerce
Cisa Kev no
Connections 2
Observation Date 2026-07-15
Vulnerability Class CVSS
Vulnerability Score 6.1
Vulnerability Severity Medium
References
Created: 2026-06-30 09:23 UTC | Updated: 2026-07-17 01:01 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 044528da-a7bc-4173-b783-5bcb4fe5a921

Vulnerability ID: CVE-2022-1916

Status: Confirmed

Status Updated: 2022-06-27 08:58 UTC

Exploited: Yes

Timestamps
First Seen: 2022-06-27
Asserted: 2022-06-27
Scope
Notes: KEVIntel entry: Active Products Tables for WooCommerce < 1.0.5 - Reflected Cross-Site-Scripting | Affected: Unknown / Active Products Tables for WooCommerce. Professional products tables for WooCommerce store | Used in malware: unknown | Not yet in CISA KEV: True
Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.com)
Title Active Products Tables for WooCommerce < 1.0.5 - Reflected Cross-Site-Scripting
Vendor Unknown
Product Active Products Tables for WooCommerce. Professional products tables for WooCommerce store
Added Date 2022-06-27T08:58:38.000Z
Cvss Score None
Epss Score None
Cvss Severity None
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True
References
Created: 2026-06-23 14:06 UTC | Updated: 2026-07-10 06:14 UTC
Show details on NVD website
To clipboard 

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.


Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.