Security Resilience

CVE-2024-24592

Auth Bypass in Clearml

Public PoCAuth Bypass
Published
06 February 2024
Modified
17 June 2026
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0098 62th percentile
Risk Priority 73 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-24592 is a critical-severity Forced Browsing (CWE-425) vulnerability in Clear Clearml. Its CVSS base score is 9.8 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Proc Filesystem (T1003.007); ranked in the top 38% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as Other AI Platforms; in the Supply Chain and Deployment risk domain.

The strongest mitigations our analysis identified map to AC-24 (Access Control Decisions) and AC-3 (Access Enforcement) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Lack of authentication in all versions of the fileserver component of Allegro AI’s ClearML platform allows a remote attacker to arbitrarily access, create, modify and delete files.

CWE(s)

AI Security AnalysisAI

AI Category
Other AI Platforms
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
ClearML is a scalable MLOps platform for managing ML projects, datasets, experiments, and models, with the vulnerability in its fileserver component used for storing ML artifacts.

Related Threats

MITRE ATT&CK Enterprise Techniques

T1003.007 Proc Filesystem Credential Access
Adversaries may gather credentials from the proc filesystem or `/proc`.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
T1010 Application Window Discovery Discovery
Adversaries may attempt to get a listing of open application windows.
T1011.001 Exfiltration Over Bluetooth Exfiltration
Adversaries may attempt to exfiltrate data over Bluetooth rather than the command and control channel.
T1012 Query Registry Discovery
Adversaries may interact with the Windows Registry to gather information about the system, configuration, and installed software.
T1016 System Network Configuration Discovery Discovery
Adversaries may look for details about the network configuration and settings, such as IP and/or MAC addresses, of systems they access or through information discovery of remote systems.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-24594Same product: Clear Clearml
CVE-2024-24593Same product: Clear Clearml
CVE-2024-24591Same product: Clear Clearml
CVE-2024-24590Same product: Clear Clearml
CVE-2024-24595Same product: Clear Clearml
CVE-2023-6778Same vendor: Clear
CVE-2024-39272Same vendor: Clear
CVE-2025-67844Shared CWE-425
CVE-2026-80275Shared CWE-425
CVE-2024-6414Shared CWE-425

Affected Assets

clear
clearml
all versions

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

AC-3 directly requires enforcement of authorizations for access to resources such as URLs, scripts, and files, structurally preventing forced browsing.

Mandates unique identification and authentication of organizational users before access, directly stopping improper authentication.

Requires unique identification and authentication of devices before establishing connections, preventing unauthenticated device claims.

Mandates unique identification and authentication of non-organizational users, directly addressing the weakness for external actors.

AC-24 requires that access-control decisions be applied to every request, addressing the missing enforcement on restricted URLs.

Manages authenticators with verification and secure distribution, reducing opportunities for improper authentication.

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 partial match
blocks

Directly requires policy-driven definition, enforcement, and review of authorizations on resources such as URLs.

PR.IR-01 partial match
blocks

Protects environments from unauthorized logical access, which includes preventing direct requests to restricted paths.

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.

removes
blocks

A.5.15 directly requires defining/implementing access control rules, authorization, need-to-know, and restrictions that enforce appropriate access on all URLs/resources, which stops forced browsing exploitation even if the flaw remains; remainder is bounded to non-authorization cases like path traversal or CSRF (per AC-3 anchor).

removes
removes
removes

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

  • No fine-grained STIG row for CWE-287, a class-level weakness. Rules are authored against its narrower children: CWE-295, CWE-306.

References