CVE-2018-15133 (GCVE-0-2018-15133)
Vulnerability from cvelistv5 – Published: 2018-08-09 19:00 – Updated: 2025-10-21 23:45Summary
In Laravel Framework through 5.5.40 and 5.6.x through 5.6.29, remote code execution might occur as a result of an unserialize call on a potentially untrusted X-XSRF-TOKEN value. This involves the decrypt method in Illuminate/Encryption/Encrypter.php and PendingBroadcast in gadgetchains/Laravel/RCE/3/chain.php in phpggc. The attacker must know the application key, which normally would never occur, but could happen if the attacker previously had privileged access or successfully accomplished a previous attack.
Severity
8.1 (High)
SSVC
Exploitation: active
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-01-17 18:05 UTC
CWE
- n/a
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://laravel.com/docs/5.6/upgrade#upgrade-5.6.30 | x_refsource_CONFIRM |
| http://packetstormsecurity.com/files/153641/PHP-L… | x_refsource_MISC |
| https://www.cisa.gov/known-exploited-vulnerabilit… | government-resource |
Date Public
2018-08-08 00:00
CISA
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 56038b82-f716-4a30-98c1-cae1b1bfe1d4
Exploited: Yes
Timestamps
First Seen: 2024-01-16
Asserted: 2024-01-16
Scope
Notes: KEV entry: Laravel Deserialization of Untrusted Data Vulnerability | Affected: Laravel / Laravel Framework | Description: Laravel Framework contains a deserialization of untrusted data vulnerability, allowing for remote command execution. This vulnerability may only be exploited if a malicious user has accessed the application encryption key (APP_KEY environment variable). | Required action: Apply mitigations per vendor instructions or discontinue use of the product if mitigations are unavailable. | Due date: 2024-02-06 | Known ransomware campaign use (KEV): Unknown | Notes (KEV): https://laravel.com/docs/5.6/upgrade#upgrade-5.6.30; https://nvd.nist.gov/vuln/detail/CVE-2018-15133
Evidence
Type: Vendor Report
Signal: Successful Exploitation
Confidence: 80%
Source: cisa-kev
Details
| Cwes | CWE-502 |
|---|---|
| Feed | CISA Known Exploited Vulnerabilities Catalog |
| Product | Laravel Framework |
| Due Date | 2024-02-06 |
| Date Added | 2024-01-16 |
| Vendorproject | Laravel |
| Vulnerabilityname | Laravel Deserialization of Untrusted Data Vulnerability |
| Knownransomwarecampaignuse | Unknown |
References
Created: 2026-02-02 12:26 UTC
| Updated: 2026-02-06 07:17 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 88374c06-c00d-429e-913d-30539dd80d5c
Exploited: Yes
Timestamps
First Seen: 2024-01-16
Asserted: 2024-01-16
Scope
Notes: KEVIntel entry: In Laravel Framework through 5.5.40 and 5.6.x through 5.6.29, remote code execution might occur as a result of an unserialize call on a potentially... | Affected: Laravel / Laravel Framework | CVSS: 8.1 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: False
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | In Laravel Framework through 5.5.40 and 5.6.x through 5.6.29, remote code execution might occur as a result of an unserialize call on a potentially... |
| Vendor | Laravel |
| Product | Laravel Framework |
| Added Date | 2024-01-16T00:00:00.000Z |
| Cvss Score | 8.1 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | False |
References
Created: 2026-06-23 14:05 UTC
| Updated: 2026-07-10 06:14 UTC
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"tags": [
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"x_transferred"
],
"url": "http://packetstormsecurity.com/files/153641/PHP-Laravel-Framework-Token-Unserialize-Remote-Command-Execution.html"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
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"cvssV3_1": {
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"availabilityImpact": "HIGH",
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"url": "http://packetstormsecurity.com/files/153641/PHP-Laravel-Framework-Token-Unserialize-Remote-Command-Execution.html"
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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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