CVE-2023-54359 (GCVE-0-2023-54359)
Vulnerability from cvelistv5 – Published: 2026-04-09 20:54 – Updated: 2026-04-14 14:49Title
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
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
4 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/51655 | exploit |
| https://www.adivaha.com/ | product |
| https://wordpress.org/plugins/adiaha-hotel/ | product |
| https://www.vulncheck.com/advisories/wordpress-ad… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Adivaha | WordPress adivaha Travel Plugin |
Affected:
2.3
|
Date Public
2023-08-04 00:00
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 18a15b47-633b-4c32-a252-2a88b9eb844c
Exploited: Yes
Timestamps
First Seen: 2026-08-03
Asserted: 2026-08-03
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: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | WordPress adivaha Travel Plugin 2.3 SQL Injection via pid |
| Cve Id | CVE-2023-54359 |
| Vendor | Adivaha |
| Ghsa Id | None |
| Product | WordPress adivaha Travel Plugin |
| Added Date | 2026-08-03T13:35:26.053Z |
| Cvss Score | 8.8 |
| Epss Score | 0.00269 |
| Previous Ids | |
| Cvss Severity | HIGH |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.17285 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2023-54359 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.
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