CVE-2026-47357 (GCVE-0-2026-47357)
Vulnerability from cvelistv5 – Published: 2026-05-19 15:53 – Updated: 2026-05-19 17:09
VLAI
EPSS
VEX
Summary
Terrascan v1.18.3 and prior are vulnerable to Server-Side Request Forgery (SSRF) via the remote_url parameter in the remote directory scan endpoint (POST /v1/{iac}/{iacVersion}/{cloud}/remote/dir/scan) when running in server mode. An unauthenticated remote attacker can supply an attacker-controlled HTTP URL as remote_url with remote_type set to "http". The URL is passed directly to hashicorp/go-getter (v1.7.5) without validation. Go-getter's HttpGetter supports the X-Terraform-Get response header, allowing the attacker's server to redirect the download to a file:// URL, enabling local file read. Additionally, HttpGetter has Netrc set to true, causing it to read ~/.netrc and send stored credentials to attacker-controlled hostnames. This affects deployments running terrascan in server mode (terrascan server), which binds to 0.0.0.0 with no authentication. Note: Terrascan was archived in August 2023 and no patch will be released.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-19 17:09 UTC
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/tenable/terrascan |
Impacted products
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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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