8.8
CWE
787 119
Advisory Published
Updated

CVE-2020-12248: Buffer Overflow

First published: Fri Sep 04 2020(Updated: )

In Foxit Reader and PhantomPDF before 10.0.1, and PhantomPDF before 9.7.3, attackers can execute arbitrary code via a heap-based buffer overflow because dirty image-resource data is mishandled.

Credit: cve@mitre.org

Affected SoftwareAffected VersionHow to fix
Foxitsoftware Phantompdf<=9.7.2.29539
Microsoft Windows
Foxitsoftware Phantompdf<=10.0.0.35798
Foxitsoftware Reader<=10.0.0.35798

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 issue?

    The vulnerability ID for this issue is CVE-2020-12248.

  • What is the severity level of CVE-2020-12248?

    CVE-2020-12248 has a severity level of 8.8, which is considered high.

  • How does this vulnerability occur in Foxit Reader and PhantomPDF?

    This vulnerability occurs in Foxit Reader and PhantomPDF due to a heap-based buffer overflow that is caused by mishandling dirty image-resource data.

  • Which versions of Foxit Reader and PhantomPDF are affected by CVE-2020-12248?

    Foxit Reader versions up to and including 10.0.0.35798 and PhantomPDF versions up to and including 9.7.2.29539 are affected by CVE-2020-12248.

  • How can an attacker exploit CVE-2020-12248?

    An attacker can exploit CVE-2020-12248 by executing arbitrary code through the heap-based buffer overflow.

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