CVE-2023-30838 (GCVE-0-2023-30838)
Vulnerability from cvelistv5 – Published: 2023-04-25 18:22 – Updated: 2025-02-03 19:34
VLAI
EPSS
VEX
Title
PrestaShop vulnerable to possible XSS injection through Validate::isCleanHTML method
Summary
PrestaShop is an Open Source e-commerce web application. Prior to versions 8.0.4 and 1.7.8.9, the `ValidateCore::isCleanHTML()` method of Prestashop misses hijackable events which can lead to cross-site scripting (XSS) injection, allowed by the presence of pre-setup `@keyframes` methods. This XSS, which hijacks HTML attributes, can be triggered without any interaction by the visitor/administrator, which makes it as dangerous as a trivial XSS attack. Contrary to other attacks which target HTML attributes and are triggered without user interaction (such as onload / onerror which suffer from a very limited scope), this one can hijack every HTML element, which increases the danger due to a complete HTML elements scope. Versions 8.0.4 and 1.7.8.9 contain a fix for this issue.
Severity
8.6 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-03 19:34 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/PrestaShop/PrestaShop/security… | x_refsource_CONFIRM |
| https://github.com/PrestaShop/PrestaShop/commit/4… | x_refsource_MISC |
| https://github.com/PrestaShop/PrestaShop/commit/d… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| PrestaShop | PrestaShop |
Affected:
>= 8.0.0, < 8.0.4
Affected: < 1.7.8.9 |
guessed |
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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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