Denial of service via unbounded cache growth
Published Aug 9, 2024 · Updated Aug 9, 2024
Uncontrolled resource consumption in NVIDIA CV-CUDA 0.1.x through 0.9.x allows local users to exhaust memory through Python APIs. A long-running Python process permits the internal cache to grow without a limit because Python-created object lifetimes remain coupled to cache management. Low-privilege local code execution is required; successful exploitation can interrupt service and cause data loss.
Summary
What happened
Uncontrolled resource consumption in NVIDIA CV-CUDA 0.1.x through 0.9.x allows local users to exhaust memory through Python APIs. A long-running Python process permits the internal cache to grow without a limit because Python-created object lifetimes remain coupled to cache management. Low-privilege local code execution is required; successful exploitation can interrupt service and cause data loss.
The record
- CVE
- CVE-2024-0115
- Published
- Aug 9, 2024
- Updated
- Aug 9, 2024
- Vendor
- DPDK Project
- Product
- CV-CUDA
- Classifications
- CWE-400, T1499.001
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- Aug 9, 2024CVE publishedPublication date reported by the CVE source.
- Aug 9, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=v0.1.x - v0.9.x
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Public exploit references
No public exploit references are available in this record.
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Technologies
Your stack
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Your stack
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