Live Exposure Defense: From CVE to Confirmed Exposure in 12 Hours – See more

Back
New CVE Detected

CVE-2026-75111 – Unauthenticated Arbitrary File Read (Path Traversal) – Evidently ≤0.7.21

Be the first to know when new zero-days emerge:

Subscribe to Email Alerts
Subscribe to RSS Feed

Summary

CVE-2026-75111 is a path traversal vulnerability in Evidently AI’s evidently Python package (Evidently UI) that allows unauthenticated attackers to read arbitrary files from the host filesystem outside the intended workspace directory. The flaw resides in the dataset materialization endpoint and affects all versions through 0.7.21. It is rated HIGH severity, with a CVSS v4.0 base score of 8.7.

Technical details

  • Root cause: the POST /api/datasets/materialize endpoint (backed by FileDataSource in src/evidently/ui/service/datasets/data_source.py) accepts a user-supplied filename parameter and passes it directly to posixpath.join() without any containment validation.
  • posixpath.join() honors both relative traversal sequences (../../../etc/passwd) and absolute paths, allowing the resulting path to escape the configured workspace directory.
  • Trigger conditions: the endpoint is reachable over the network and, in the default configuration where authentication is disabled, requires no credentials or user interaction to exploit.
  • Impact: an attacker can materialize arbitrary .csv/.parquet-readable files from the server filesystem into a dataset and retrieve them, potentially exfiltrating sensitive data such as credentials, database exports, or training data stored anywhere on the host.

Affected software

  • Evidently (PyPI package evidently) — Evidently UI, versions 0 through 0.7.21

Severity

  • CVSS v4.0: 8.7 (HIGH) — CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
  • CVSS v3.1: 7.5 (HIGH) — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Mitigation and recommended actions

  • Immediate: no patched release has been published for this issue as of this writing; monitor the evidentlyai/evidently GitHub repository and PyPI for a fixed release beyond 0.7.21 and upgrade as soon as one is available.
  • If no patch: do not expose the Evidently UI dataset materialization endpoint to untrusted networks; enable authentication on the Evidently UI service (it is disabled by default); restrict network access to the service to trusted hosts only; and consider running the service with a restricted filesystem user/container so any file read is limited in scope.

How IONIX identifies potentially affected assets

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

  • Page title: Evidently - ML Monitoring Demo

References

Are you exposed?

Get a free report of your organization’s exposure to this CVE and threat

  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
Get Exposure Report

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.

Are you exposed?

Get a free report of your organization’s exposure to this CVE and threat

  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
Get Exposure Report
Close

Subscribe to Threat Center RSS

Copy/paste the link below into your preferred RSS reader or follow these instructions to subscribe to Slack alerts.

Open RSS feedSlack setup instructions

Close

Get Real-Time CVE Alerts to Your Email

Be the first to know when new zero-days emerge