Cyber Resilience

CVE-2024-35199

Pytorch Torchserve 0.3.0 – 0.11.0

Published
19 July 2024
Modified
04 September 2025
Patch / advisory
View advisory
CVSS Score v3.1 8.2
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
EPSS Score 0.0063 47th percentile
Risk Priority 62 floored blend · peak EPSS

Summary

CVE-2024-35199 is a high-severity Exposure of Resource to Wrong Sphere (CWE-668) vulnerability in Pytorch Torchserve. Its CVSS base score is 8.2 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Cloud Instance Metadata API (T1552.005); ranked at the 47th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as Deep Learning Frameworks; in the Supply Chain and Deployment risk domain.

The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

A01:2025 Broken Access Control

EU & UK References

Vulnerability Data

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](http://localhost/) by default, so when TorchServe is launched, these two interfaces…

more

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.

CWE(s)
CWE-668

AI Security AnalysisAI

AI Category
Deep Learning Frameworks
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
TorchServe is a production serving tool specifically designed for PyTorch models, which is a deep learning framework. The vulnerability affects the deployment of PyTorch inference servers, directly tied to deep learning model serving.

Related Threats

MITRE ATT&CK Enterprise Techniques

T1552.005 Cloud Instance Metadata API Credential Access
Adversaries may attempt to access the Cloud Instance Metadata API to collect credentials and other sensitive data.
attack.mitre.org →
T1552.007 Container API Credential Access
Adversaries may gather credentials via APIs within a containers environment.
attack.mitre.org →
T1039 Data from Network Shared Drive Collection
Adversaries may search network shares on computers they have compromised to find files of interest.
attack.mitre.org →
T1530 Data from Cloud Storage Collection
Adversaries may access data from cloud storage.
attack.mitre.org →
T1552 Unsecured Credentials Credential Access
Adversaries may search compromised systems to find and obtain insecurely stored credentials.
attack.mitre.org →
T1552.001 Credentials In Files Credential Access
Adversaries may search local file systems and remote file shares for files containing insecurely stored credentials.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-48299Same product: Pytorch Torchserve
CVE-2024-35198Same product: Pytorch Torchserve
CVE-2023-43654Same product: Pytorch Torchserve
CVE-2024-40725Shared CWE-668
CVE-2023-39049Shared CWE-668
CVE-2025-38670Shared CWE-668
CVE-2023-45357Shared CWE-668
CVE-2023-22892Shared CWE-668
CVE-2023-32394Shared CWE-668
CVE-2023-39155Shared CWE-668

Affected Assets

pytorch
torchserve
0.3.0 — 0.11.0

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)
  • 8 hardening rules · 7 OS baselines
Validate
Prove the fix (OWASP ASVS)

—

Mitigating Controls (NIST 800-53 r5) AI

AC-3 Access Enforcement good match

Access enforcement directly stops resources from being reachable by actors outside the intended control sphere.

AC-4 Information Flow Enforcement good match

Information flow enforcement structurally prevents unintended cross-sphere data or resource exposure.

AC-6 Least Privilege good match

Least privilege reduces the set of actors that can reach a resource, limiting wrong-sphere exposure.

AC-16 Security and Privacy Attributes partial match

Security attributes enable correct sphere assignment and subsequent enforcement decisions.

SC-7 Boundary Protection partial match

Boundary protection at interfaces prevents resources from being exposed outside authorized spheres.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.AA-05 mostly match
prevents

Enforcing least-privilege authorizations directly prevents resources from being exposed outside their intended control sphere.

PR.IR-01 partial match
prevents

Network segmentation and unauthorized-access protections reduce the chance of resources being reachable by the wrong sphere.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.8.22 Segregation of networks partial match
mitigates

Placing systems of differing trust levels into separate domains prevents resources from being placed in a sphere where they are reachable by unintended actors.

A.5.9 Inventory of information and other associated assets none match
none

Requiring owners to manage the full asset life cycle and remove assets from the inventory upon secure disposal helps prevent resources from being inadvertently exposed outside their intended security sphere.

Hardening callouts derived

Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (authoritative rows only; rows rated `none` are excluded).

Oracle Linux 8 (2 rules)
  • V-248827 OL 8 must not have the rsh-server package installed. prevents CWE-668
  • V-248823 OL 8 must not have the telnet-server package installed. prevents CWE-668
RHEL 7 (1 rule)
  • V-204442 The Red Hat Enterprise Linux operating system must not have the rsh-server package installed. prevents CWE-668
Windows 10 (1 rule)
  • V-220967 The Debug programs user right must only be assigned to the Administrators group. prevents CWE-668
Windows 11 (1 rule)
  • V-253490 The "Debug programs" user right must only be assigned to the Administrators group. prevents CWE-668
Windows Server 2016 (1 rule)
  • V-225079 The Debug programs user right must only be assigned to the Administrators group. prevents CWE-668
Windows Server 2019 (1 rule)
  • V-205757 Windows Server 2019 Debug programs: user right must only be assigned to the Administrators group. prevents CWE-668
Windows Server 2022 (1 rule)
  • V-254500 Windows Server 2022 debug programs user right must only be assigned to the Administrators group. prevents CWE-668

References