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CVE-2026-82329 – Authentication Bypass Leading to Admin Takeover – JFrog Artifactory (multiple versi

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Summary

CVE-2026-82329 is a critical improper authentication vulnerability (CWE-287) in JFrog Artifactory that, under default configuration, allows an unauthenticated attacker with network access to obtain administrative privileges. The flaw carries a CVSS v3.1 base score of 9.8 (Critical) and requires no authentication, privileges, or user interaction to exploit.

Technical details

  • Root cause: a weakness in Artifactory’s authentication handling that fails to properly restrict access under default configuration.
  • Trigger conditions: the vulnerable behavior is present in default, out-of-the-box configurations of self-hosted Artifactory instances.
  • Attack vector: network-based, requiring no prior authentication or user interaction (AC:L, PR:N, UI:N).
  • Impact: successful exploitation grants administrative privileges, resulting in full compromise of confidentiality, integrity, and availability of the Artifactory instance and the artifacts/repositories it manages.

Affected software

  • JFrog Artifactory versions before 7.111.21
  • 7.117.0 through 7.117.27 (fixed in 7.117.28)
  • 7.125.0 through 7.125.19 (fixed in 7.125.20)
  • 7.133.0 through 7.133.28 (fixed in 7.133.29)
  • 7.146.0 through 7.146.36/37 (fixed in 7.146.38)
  • 7.161.0 through 7.161.19 (fixed in 7.161.20)

Severity

  • CVSS v3.1 Base Score: 9.8 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: self-hosted Artifactory instances should be upgraded to the patched version for their branch — 7.111.21, 7.117.28, 7.125.20, 7.133.29, 7.146.38, or 7.161.20 — as applicable.
  • JFrog-hosted cloud deployments have already been patched by JFrog; no customer action is required for those environments.
  • If patching cannot be performed immediately, restrict network access to the Artifactory administrative interface to trusted internal networks only until the upgrade is applied.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Raw response body: <span class="version">Artifactory (optionally followed by "Pro" and/or "Power Pack" and a version number)
  • Rendered page: Artifactory/([version]) Server
  • Loaded script URL: path containing wicket/resource/org.artifactory.
  • JavaScript object present once the page runs: ArtifactoryUpdates

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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