CVE-2024-7264
libcurl's ASN1 parser code has the GTime2str() function, used for parsing an
ASN.1 Generalized Time field. If given an syntactically incorrect field, the
parser might end up using -1 for the length of the time fraction, leading to
a strlen() getting performed on a pointer to a heap buffer area that is not
(purposely) null terminated.
This flaw most likely leads to a crash, but can also lead to heap contents getting returned to the application when CURLINFO_CERTINFO is used.
| Software | From | Fixed in |
|---|---|---|
| haxx / libcurl | 7.32.0 | 8.9.1 |
- http://www.openwall.com/lists/oss-security/2024/07/31/1
- https://curl.se/docs/CVE-2024-7264.html
- https://curl.se/docs/CVE-2024-7264.json
- https://github.com/curl/curl/commit/27959ecce75cdb2809c0bdb3286e60e08fadb519
- https://hackerone.com/reports/2629968
- https://security.netapp.com/advisory/ntap-20240828-0008/
- https://security.netapp.com/advisory/ntap-20241025-0006/
- https://security.netapp.com/advisory/ntap-20241025-0010/
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A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.
Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.
Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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