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CVE-2023-54359 (GCVE-0-2023-54359)

Vulnerability from cvelistv5 – Published: 2026-04-09 20:54 – Updated: 2026-04-14 14:49
VLAI Shadowserver Previdian
Title
WordPress adivaha Travel Plugin 2.3 SQL Injection via pid
Summary
WordPress adivaha Travel Plugin 2.3 contains a time-based blind SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the 'pid' GET parameter. Attackers can send requests to the /mobile-app/v3/ endpoint with crafted 'pid' values using XOR-based payloads to extract sensitive database information or cause denial of service.
Severity
8.8 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N
8.2 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-14 14:49 UTC
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
Impacted products
Vendor Product Version CPE status
Adivaha WordPress adivaha Travel Plugin Affected: 2.3
guessed Create a notification for this product.
Date Public
2023-08-04 00:00
Credits
CraCkEr
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9a248456-a2e7-4e3d-9f5a-f47d8c586d3b

Vulnerability ID: CVE-2023-54359

Status: Confirmed

Status Updated: 2026-09-02 00:00 UTC

Exploited: Yes

Characteristics
Severity: 82.0
Timestamps
First Seen: 2026-08-02
Asserted: 2026-08-02
Last Seen: 2026-09-02
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: Wordpress / adivaha Travel Plugin for Wordpress | Class: cms | Severity: High (CVSS 8.2) | IoT: no | In CISA KEV: no | Honeypot connections on 2026-09-02: 9
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 adivaha Travel Plugin for Wordpress
Cisa Kev no
Connections 9
Observation Date 2026-09-02
Vulnerability Class CVSS
Vulnerability Score 8.2
Vulnerability Severity High
References
Created: 2026-08-04 01:00 UTC | Updated: 2026-09-04 01:01 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a34d52da-21b0-44bb-93d8-c723648a24f2

Vulnerability ID: CVE-2023-54359

Status: Confirmed

Status Updated: 2026-08-02 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2026-08-02
Asserted: 2026-08-02
Scope
Notes: WordPress adivaha Travel Plugin 2.3 SQL Injection via pid | Affected: Adivaha / WordPress adivaha Travel Plugin | CVSS: 8.8 (HIGH) | EPSS: 0.00269 | 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 WordPress adivaha Travel Plugin 2.3 SQL Injection via pid
Vendor Adivaha
Product WordPress adivaha Travel Plugin
Added Date 2026-08-02T00:00:00.000Z
Cvss Score 8.8
Epss Score 0.00269
Cvss Severity HIGH
Epss Percentile 0.18971
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True
References
Created: 2026-08-03 11:01 UTC | Updated: 2026-08-03 11:01 UTC
Show details on NVD website
To clipboard 

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Taxonomy of the tags.





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.