TorchServe is a flexible and easy-to-use tool for serving and scaling PyTorch models in production. In affected versions the two gRPC ports 7070 and 7071, are not bound to localhost by default, so when TorchServe is launched, these two interfaces are bound to all interfaces. Customers using PyTorch inference Deep Learning Containers (DLC) through Amazon SageMaker and EKS are not affected. This issue in TorchServe has been fixed in PR #3083. TorchServe release 0.11.0 includes the fix to address this vulnerability. Users are advised to upgrade. There are no known workarounds for this vulnerability.
CVE-2024-35199
This high-severity CVE scores 8.2 under NVD CVSS v3. EPSS exploit probability: 0.6%, top 53% of all CVEs by exploit prediction. GitHub Security Advisory data not yet ingested — confidence will rise once GHSA publishes (typical lag: hours to days for open-source ecosystem CVEs; never for infrastructure-only CVEs).
- High severity, but no confirmed exploitation yet
No vendor fix yet — apply a workaround or compensating control (WAF / firewall / segmentation) and watch for a patch.
- CVSS v3
- 8.2
- EG Score
- 8.2(medium)
- EG Risk
- 52(Track)EG Risk 52/100SSVC: Track
EG Risk is EchelonGraph's 0–100 priority score: it fuses intrinsic severity with real-world exploitation and automatability so you can rank equal-severity CVEs and fix the most dangerous first. Higher = act sooner. Distinct from the 0–10 EG Score (severity).
How it’s computedSeverity82% × 45%Exploitation1% × 40%Automatability100% × 15%Action: Routine — remediate on your standard cadence. - EPSS
- 46.5%
- KEV
- Not listed
Published
July 19, 2024
Last Modified
September 4, 2025
References (6)
- security-advisories@githubhttps://github.com/pytorch/serve/pull/3083
- security-advisories@githubhttps://github.com/pytorch/serve/releases/tag/v0.11.0
- security-advisories@githubhttps://github.com/pytorch/serve/security/advisories/GHSA-hhpg-v63p-wp7w
- af854a3a-2127-422b-91ae-364da2661108https://github.com/pytorch/serve/pull/3083
- af854a3a-2127-422b-91ae-364da2661108https://github.com/pytorch/serve/releases/tag/v0.11.0
- af854a3a-2127-422b-91ae-364da2661108https://github.com/pytorch/serve/security/advisories/GHSA-hhpg-v63p-wp7w
Affected Packages
(1 across 1 ecosystem)
PyPI(1)
| Package | Vulnerable range | Fixed in | Dependents |
|---|---|---|---|
| torchserve | 0.10.0 ... 0.9.0 (18 versions) | 0.11.0 | — |
Weakness Classification(1)
MITRE Common Weakness Enumeration — the root-cause categories this CVE belongs to.
Data Freshness Timeline
(refreshed 12× in last 7d / 47× in last 30d)
Each row is a source pipeline that fetched or updated this CVE on that date, with what changed. For example, "NVD update" means NVD published or revised its analysis for this CVE; "MITRE cvelistV5" means we ingested or refreshed it from the CNA feed. Most recent first.
- 2026-07-23 02:37 UTCEG score recompute
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Related CVEs(same CWE)
Same CWE
10 shownCWE-668
- CVE-2019-16541EG 9.9CRITICAL
- CVE-2019-20853EG 9.8CRITICAL
- CVE-2019-10781EG 9.8CRITICAL
- CVE-2019-19015EG 9.8CRITICAL
- CVE-2008-7291EG 9.8CRITICAL
- CVE-2019-12929EG 9.8EPSS 91%CRITICAL
- CVE-2019-12928EG 9.8EPSS 98%CRITICAL
- CVE-2018-7846EG 9.8EPSS 98%CRITICAL
- CVE-2018-18068EG 9.8CRITICAL
- CVE-2018-7072EG 9.8CRITICAL
Frequently asked(5)
What is CVE-2024-35199?
When was CVE-2024-35199 disclosed?
Is CVE-2024-35199 actively exploited?
What is the CVSS score of CVE-2024-35199?
How do I remediate CVE-2024-35199?
Dependency Blast Radius
See which npm, PyPI, Go, and Maven packages are affected by CVE-2024-35199
Is Your Infrastructure Affected by CVE-2024-35199?
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