CVE-2017-0911
5.4 · MEDIUMOverview
CVE-2017-0911 is a medium-severity vulnerability affecting twitter twitter_kit. It was published on February 9, 2018 and has a CVSS 3.0 base score of 5.4 (MEDIUM).
This vulnerability has a CVSS 3.0 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
Twitter Kit for iOS versions 3.0 to 3.2.1 is vulnerable to a callback verification flaw in the "Login with Twitter" component allowing an attacker to provide alternate credentials. In the final step of "Login with Twitter" authentication information is passed back to the application using the registered custom URL scheme (typically twitterkit-<consumer-key>) on iOS. Because the callback handler did not verify the authenticity of the response, this step is vulnerable to forgery, potentially allowing attacker to associate a Twitter account with a third-party service.
Remediation
Check the references section for vendor advisories and patches from twitter. Update twitter_kit to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| twitter_kit | 3.0 | Affected |
References
Frequently Asked Questions
What is CVE-2017-0911?
CVE-2017-0911 is a medium-severity vulnerability affecting twitter twitter_kit. It was published on February 9, 2018 and has a CVSS 3.0 base score of 5.4 (MEDIUM).
How severe is CVE-2017-0911?
This vulnerability has a CVSS 3.0 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2017-0911?
Check the references section for vendor advisories and patches from twitter. Update twitter_kit to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2017-0911?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-0911 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
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Browser-based exploitation validates findings with real proof-of-concept.
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