lostisland faraday up to 2.14.2 build_exclusive_url server-side request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.8 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in lostisland faraday up to 2.14.2 and classified as critical. This issue affects the function build_exclusive_url. Performing a manipulation results in server-side request forgery.
This vulnerability is identified as CVE-2026-33637. The attack can be initiated remotely. There is not any exploit available.
The affected component should be upgraded.
Details
A vulnerability was found in lostisland faraday up to 2.14.2. It has been classified as critical. This affects the function build_exclusive_url. The manipulation with an unknown input leads to a server-side request forgery vulnerability. CWE is classifying the issue as CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Faraday is an HTTP client library abstraction layer that provides a common interface over many adapters. Versions 2.0.0 through 2.14.1 still allow protocol-relative host override when the request target is passed as a URI object (rather than a String) to Faraday::Connection#build_exclusive_url. This bypasses the February 2026 fix for GHSA-33mh-2634-fwr2 and enables off-host request forgery: a request built from a fixed-base Faraday::Connection can be redirected to an attacker-controlled host, forwarding connection-scoped values such as Authorization headers and default query parameters. This issue has been fixed in version 2.14.3.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-33637 since 03/23/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 316391 (Linux Distros Unpatched Vulnerability : CVE-2026-33637), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 2.0.0, 2.14.1 or 2.14.3 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (316391). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔒
CNA Base Score: 3.9
CNA Vector (GitHub_M): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Server-side request forgeryCWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Nessus ID: 316391
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-33637
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: faraday 2.0.0/2.14.1/2.14.3
Timeline
03/23/2026 CVE reserved05/19/2026 Advisory disclosed
05/19/2026 VulDB entry created
05/24/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-33mh-2634-fwr2
Status: Confirmed
CVE: CVE-2026-33637 (🔒)
GCVE (CVE): GCVE-0-2026-33637
GCVE (VulDB): GCVE-100-364731
Entry
Created: 05/19/2026 23:11Updated: 05/24/2026 14:44
Changes: 05/19/2026 23:11 (65), 05/23/2026 15:02 (12), 05/24/2026 14:44 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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