Vulnerability-Lookup

VAR-201704-1018

Vulnerability from variot - Updated: 2023-12-18 13:44

F5 SSL Intercept iApp 1.5.0 - 1.5.7 and SSL Orchestrator 2.0 is vulnerable to a Server-Side Request Forgery (SSRF) attack when deployed using the Dynamic Domain Bypass (DDB) feature feature plus SNAT Auto Map option for egress traffic. The former is a set of templates for configuring outbound security devices for decrypting SSL traffic in LTM; the latter is a set of solutions designed to optimize SSL infrastructure and provide security devices. Attackers can exploit this vulnerability to implement server-side request forgery attacks

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CVE-2017-6130 (GCVE-0-2017-6130)

Vulnerability from cvelistv5 – Published: 2017-04-06 14:00 – Updated: 2024-08-05 15:18

Summary

Severity

No CVSS data available.

CWE

Server-Side Request Forgery

Assigner

f5 mitre root

References

1 reference

URL	Tags
https://support.f5.com/csp/article/K23001529	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
F5 Networks	SSL Intercept iApp 1.5.0 - 1.5.7 and SSL Orchestrator 2.0	Affected: SSL Intercept iApp 1.5.0 - 1.5.7 and SSL Orchestrator 2.0

Date Public

2017-04-05 00:00

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.