CVE-2018-1000046
7.8 · HIGHOverview
CVE-2018-1000046 is a high-severity vulnerability affecting nasa pyblock. It was published on February 9, 2018 and has a CVSS 3.0 base score of 7.8 (HIGH).
This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
NASA Pyblock version v1.0 - v1.3 contains a CWE-502 vulnerability in Radar data parsing library that can result in remote code execution. This attack appear to be exploitable via Victim opening a specially crafted radar data file. This vulnerability appears to have been fixed in v1.4.
Remediation
Check the references section for vendor advisories and patches from nasa. Update pyblock 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 |
|---|---|---|---|
| nasa | pyblock | 1.0 | Affected |
Frequently Asked Questions
What is CVE-2018-1000046?
CVE-2018-1000046 is a high-severity vulnerability affecting nasa pyblock. It was published on February 9, 2018 and has a CVSS 3.0 base score of 7.8 (HIGH).
How severe is CVE-2018-1000046?
This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2018-1000046?
Check the references section for vendor advisories and patches from nasa. Update pyblock 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-2018-1000046?
CyberStrike's AI-powered security agents can automatically detect CVE-2018-1000046 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.
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