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VulnerabilityPublished

CVE-2026-25632: WaterFutures EPyT-Flow · Deserialization of Untrusted Data

Affects WaterFutures EPyT-FlowSource CVE Database V5

0

Not known to be exploited · CVSS 10.0 Critical : upgrade to 0.16.1 as a priority.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
10.0Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.8% chance of exploitation in 30 days – higher than 56% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.16.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade EPyT-Flow and epyt-flow to 0.16.1.

Affected software

ProductAffectedFixed in
WaterFuturesEPyT-FlowAffected
  • <0.16.1
Fixed in
  • 0.16.1
PyPIepyt-flowpkg:pypi/epyt-flowOther threatsAffected
  • <0.16.1
Fixed in
  • 0.16.1

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

To mitigate CVE-2026-25632, European organizations should immediately upgrade EPyT-Flow to version 0.16.1 or later, where the vulnerability is fixed. Until the upgrade is applied, restrict network access to the EPyT-Flow REST API to trusted internal networks only, using firewalls or VPNs. Implement strict input validation and sanitization on JSON data before deserialization to prevent malicious payloads. Employ application-layer security controls such as web application firewalls (WAFs) that can detect and block suspicious JSON payloads containing unexpected 'type' fields or dynamic import attempts. Monitor system and application logs for unusual process creation or command execution patterns indicative of exploitation attempts. Consider running EPyT-Flow in a sandboxed or containerized environment with minimal privileges to limit the impact of potential compromise. Finally, conduct security awareness training for developers and operators on the risks of insecure deserialization and secure coding practices.

Description

EPyT-Flow is a Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks. Prior to 0.16.1, EPyT-Flow’s REST API parses attacker-controlled JSON request bodies using a custom deserializer (my_load_from_json) that supports a type field. When type is present, the deserializer dynamically imports an attacker-specified module/class and instantiates it with attacker-supplied arguments. This allows invoking dangerous classes such as subprocess.Popen, which can lead to OS command execution during JSON parsing. This also affects the loading of JSON files. This vulnerability is fixed in 0.16.1.

References

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