CVE-2023-6627 (GCVE-0-2023-6627)
Vulnerability from cvelistv5 – Published: 2024-01-08 19:00 – Updated: 2025-06-18 16:53
VLAI
EPSS
VEX
Title
WP Go Maps < 9.0.28 - Unauthenticated Stored XSS
Summary
The WP Go Maps (formerly WP Google Maps) WordPress plugin before 9.0.28 does not properly protect most of its REST API routes, which attackers can abuse to store malicious HTML/Javascript on the site.
Severity
6.1 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-01-08 20:13 UTC
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://wpscan.com/vulnerability/f5687d0e-98ca-44… | exploitvdb-entrytechnical-description |
| https://wpscan.com/blog/stored-xss-fixed-in-wp-go… | technical-description |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Unknown | WP Go Maps (formerly WP Google Maps) |
Affected:
0 , < 9.0.28
(semver)
|
guessed |
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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
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- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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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.
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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.