CWE
125 120
Advisory Published
Updated

CVE-2020-8942

First published: Tue Dec 15 2020(Updated: )

An arbitrary memory read vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to enc_untrusted_read whose return size was not validated against the requrested size. The parameter size is unchecked allowing the attacker to read memory locations outside of the intended buffer size including memory addresses within the secure enclave. We recommend upgrading past commit b1d120a2c7d7446d2cc58d517e20a1b184b82200

Credit: cve-coordination@google.com

Affected SoftwareAffected VersionHow to fix
Google Asylo<=0.6.0

Never miss a vulnerability like this again

Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.

Frequently Asked Questions

  • What is the vulnerability ID for this vulnerability?

    The vulnerability ID for this vulnerability is CVE-2020-8942.

  • What is the severity of CVE-2020-8942?

    The severity of CVE-2020-8942 is medium with a severity value of 5.5.

  • What is the affected software for CVE-2020-8942?

    The affected software for CVE-2020-8942 is Google Asylo up to version 0.6.0.

  • How does CVE-2020-8942 impact the system?

    CVE-2020-8942 allows an untrusted attacker to read memory locations outside of the intended range, potentially leading to unauthorized access or disclosure of sensitive information.

  • How can I fix CVE-2020-8942?

    To fix CVE-2020-8942, it is recommended to update to a version of Asylo that is later than 0.6.0.

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2024 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203