CVE-2026-62993 (GCVE-0-2026-62993)
Vulnerability from cvelistv5 – Published: 2026-08-31 20:58 – Updated: 2026-09-02 17:36
VLAI
EPSS
VEX
Title
Smarty: SSRF via redirect bypass of trusted_uri using {fetch}
Summary
Smarty is a template engine for PHP, facilitating the separation of presentation (HTML/CSS) from application logic. Prior to 4.5.7 and 5.8.2, depending on the release line, Smarty's {fetch} handling in libs/plugins/function.fetch.php and src/FunctionHandler/Fetch.php used Security::isTrustedUri() to validate only the initial remote URL against trusted_uri when a security policy was active. For resources handled by file_get_contents(), including HTTPS URLs, PHP followed HTTP redirects by default. An attacker who could supply or influence a fetch target and had an open redirect on a trusted host could redirect the request to an attacker-chosen internal endpoint, bypass the trusted_uri allowlist, and perform server-side request forgery. This issue is fixed in versions 4.5.7 and 5.8.2.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-02 17:36 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/smarty-php/smarty/security/adv… | x_refsource_CONFIRM |
| https://github.com/smarty-php/smarty/pull/1194 | x_refsource_MISC |
| https://github.com/smarty-php/smarty/commit/31e06… | x_refsource_MISC |
| https://github.com/smarty-php/smarty/commit/a1ccd… | x_refsource_MISC |
| https://github.com/smarty-php/smarty/releases/tag… | x_refsource_MISC |
| https://github.com/smarty-php/smarty/releases/tag… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| smarty-php | smarty |
Affected:
>= 5.0.0, < 5.8.2
Affected: < 4.5.7 |
guessed |
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"url": "https://github.com/smarty-php/smarty/commit/a1ccdb0518021a559b4066c37b76a42c86bbce90"
},
{
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"tags": [
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"url": "https://github.com/smarty-php/smarty/releases/tag/v4.5.7"
},
{
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"lastModified": "2026-09-08T21:11:31.703",
"metrics": {
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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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