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Python CVE-2026-25632

CRITICAL
Deserialization of Untrusted Data (CWE-502)
2026-02-06 security-advisories@github.com GHSA-74vm-8frp-7w68
10.0
CVSS 3.1 · GitHub Advisory
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GitHub Advisory PRIMARY
10.0 CRITICAL
AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

3
Patch released
Mar 31, 2026 - 21:13 nvd
Patch available
Analysis Generated
Mar 12, 2026 - 21:54 vuln.today
CVE Published
Feb 06, 2026 - 21:16 nvd
CRITICAL 10.0

DescriptionGitHub Advisory

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.

AnalysisAI

EPyT-Flow hydraulic simulation package has a CVSS 10.0 insecure deserialization enabling code execution when loading simulation scenario files.

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Craft malicious JSON with type field
Delivery
Send to REST API endpoint
Exploit
Deserializer imports attacker module
Execution
Instantiate subprocess.Popen
Impact
Execute arbitrary OS commands

Vulnerability AssessmentAI

Exploitation EPyT-Flow versions prior to 0.16.1 with REST API exposed to network. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment CVSS 10.0 — used in water infrastructure research and simulation. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario An attacker distributes a crafted EPyT-Flow scenario file containing a malicious pickle payload. When a researcher loads the file, the payload executes arbitrary code on their system.
Remediation Update EPyT-Flow. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours: Identify all systems running EPyT-Flow and isolate them from production networks if possible; disable REST API access or restrict to trusted networks only. …

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Threat intelligence, references, and detailed analysis are available after sign-in.

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CVE-2026-25632 vulnerability details – vuln.today

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