CVE-2020-27387 (GCVE-0-2020-27387)
Vulnerability from cvelistv5 – Published: 2020-11-05 01:18 – Updated: 2024-08-04 16:11Summary
An unrestricted file upload issue in HorizontCMS through 1.0.0-beta allows an authenticated remote attacker (with access to the FileManager) to upload and execute arbitrary PHP code by uploading a PHP payload, and then using the FileManager's rename function to provide the payload (which will receive a random name on the server) with the PHP extension, and finally executing the PHP file via an HTTP GET request to /storage/<php_file_name>. NOTE: the vendor has patched this while leaving the version number at 1.0.0-beta.
Severity
8.8 (High)
CWE
- n/a
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/rapid7/metasploit-framework/pu… | x_refsource_MISC |
| https://github.com/ttimot24/HorizontCMS/commit/43… | x_refsource_MISC |
| https://blog.vonahi.io/whats-in-a-re-name/ | x_refsource_MISC |
| http://packetstormsecurity.com/files/160046/Horiz… | x_refsource_MISC |
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 4f06a601-c3c7-46ae-b02f-8d317b7ffb5d
Exploited: Yes
Characteristics
Severity:
88.0
Timestamps
First Seen: 2025-07-13
Asserted: 2025-07-13
Last Seen: 2025-07-13
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: ttimot24 / HorizontCMS | Class: cms | Severity: High (CVSS 8.8) | IoT: no | In CISA KEV: no | Honeypot connections on 2025-07-13: 24
Evidence
Type: Honeypot
Signal: In The Wild Attempts
Confidence: 70%
Source: shadowserver
Details
| 1D | 1 |
|---|---|
| Iot | no |
| Feed | Shadowserver Foundation honeypot/exploited-vulnerabilities |
| Type | http-scan |
| Class | cms |
| 7D Avg | 0 |
| Vendor | ttimot24 |
| 30D Avg | 0 |
| 90D Avg | 0 |
| Product | HorizontCMS |
| Cisa Kev | no |
| Connections | 24 |
| Observation Date | 2025-07-13 |
| Vulnerability Class | CVSS |
| Vulnerability Score | 8.8 |
| Vulnerability Severity | High |
References
Created: 2026-07-01 07:18 UTC
| Updated: 2026-07-01 12:45 UTC
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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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