The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2025-15366

CVE-2025-15366: Python imaplib Module RCE Vulnerability

CVE-2025-15366 is a command injection flaw in Python's imaplib module that allows attackers to inject additional commands via newlines. This article covers technical details, affected versions, impact, and mitigation.

Published: January 23, 2026

CVE-2025-15366 Overview

CVE-2025-15366 is a command injection vulnerability in Python's imaplib module. When user-controlled input is passed to IMAP commands, attackers can inject additional commands by embedding newline characters in the input. This vulnerability allows for command injection attacks against applications that use the imaplib module without properly sanitizing user input before processing IMAP commands.

Critical Impact

Attackers can inject arbitrary IMAP commands through newline characters, potentially leading to unauthorized mailbox access, data exfiltration, or manipulation of email data on the server.

Affected Products

  • Python imaplib module (versions prior to security patch)
  • Applications using Python's imaplib with user-controlled input

Discovery Timeline

  • 2026-01-20 - CVE CVE-2025-15366 published to NVD
  • 2026-01-20 - Last updated in NVD database

Technical Details for CVE-2025-15366

Vulnerability Analysis

This vulnerability is classified under CWE-77 (Command Injection), which occurs when an application constructs commands using externally-influenced input without proper neutralization of special elements. The imaplib module in Python failed to reject control characters, particularly newline sequences (\r\n), within IMAP commands. This oversight enables attackers to terminate the intended command and inject arbitrary IMAP protocol commands.

The attack requires network access and elevated privileges, but when exploited successfully, can compromise the integrity of IMAP communications. The vulnerability specifically affects the command processing layer of the imaplib module where commands are constructed and sent to the IMAP server.

Root Cause

The root cause of this vulnerability lies in insufficient input validation within the imaplib module. The module did not sanitize or reject control characters (bytes in the range \\x00-\\x1F and \\x7F) before sending commands to the IMAP server. Since the IMAP protocol uses newline sequences (\r\n) as command delimiters, an attacker who can influence command parameters can inject these characters to terminate the current command and append malicious ones.

Attack Vector

The attack vector is network-based and requires an attacker to have some level of access to influence the input passed to IMAP commands. A typical attack scenario involves:

  1. An application accepts user input for IMAP operations (e.g., mailbox names, search queries)
  2. The attacker crafts input containing newline characters followed by additional IMAP commands
  3. The imaplib module sends the malformed command to the IMAP server
  4. The server interprets the injected content as separate commands, executing them with the application's IMAP session privileges
python
# Security patch in Lib/imaplib.py - gh-143921: Reject control characters in IMAP commands
 # We compile these in _mode_xxx.
 _Literal = br'.*{(?P<size>\d+)}$'
 _Untagged_status = br'\* (?P<data>\d+) (?P<type>[A-Z-]+)( (?P<data2>.*))?'
-
+_control_chars = re.compile(b'[\\x00-\\x1F\\x7F]')
 
 
 class IMAP4:

Source: GitHub Commit

Detection Methods for CVE-2025-15366

Indicators of Compromise

  • Unusual IMAP commands appearing in mail server logs that contain unexpected sequences
  • Multiple IMAP commands appearing in single log entries, indicating command concatenation
  • Anomalous mailbox access patterns following user-controlled input operations

Detection Strategies

  • Monitor mail server logs for IMAP commands containing control characters or unexpected command sequences
  • Implement application-level logging to track user input passed to imaplib functions
  • Use network traffic analysis to detect IMAP sessions with malformed or injected commands
  • Deploy runtime application self-protection (RASP) solutions to detect command injection attempts

Monitoring Recommendations

  • Enable verbose logging on IMAP servers to capture full command sequences
  • Implement alerting for IMAP authentication failures or unusual command patterns
  • Review application logs for instances where user input is passed directly to mail operations
  • Monitor for exploitation attempts through security information and event management (SIEM) correlation rules

How to Mitigate CVE-2025-15366

Immediate Actions Required

  • Update Python to the latest patched version that includes the control character rejection fix
  • Review all application code that passes user input to imaplib functions
  • Implement input validation to reject control characters before passing data to imaplib
  • Consider using allowlist validation for IMAP-related user inputs

Patch Information

The vulnerability has been addressed in Python through commit 6262704b134db2a4ba12e85ecfbd968534f28b45. The fix introduces a regular expression pattern _control_chars = re.compile(b'[\\x00-\\x1F\\x7F]') to detect and reject commands containing control characters. For detailed information, refer to the GitHub Issue Discussion, the GitHub Pull Request, and the Python Security Announcement.

Workarounds

  • Implement application-level input sanitization to strip or reject control characters from user input before passing to imaplib
  • Use a wrapper function that validates all inputs against a strict allowlist of permitted characters
  • Deploy a Web Application Firewall (WAF) or similar filtering mechanism to detect and block injection attempts at the network boundary
bash
# Configuration example - Input validation before imaplib usage
# Add this validation function to your application code before any imaplib calls:
# 
# import re
# def sanitize_imap_input(user_input):
#     if re.search(b'[\\x00-\\x1F\\x7F]', user_input.encode() if isinstance(user_input, str) else user_input):
#         raise ValueError("Invalid characters detected in IMAP input")
#     return user_input

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechPython

  • SeverityMEDIUM

  • CVSS Score5.9

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:H/UI:N/VC:L/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-77
  • Technical References
  • GitHub Commit Note

  • GitHub Issue Discussion

  • GitHub Pull Request

  • Python Security Announcement
  • Related CVEs
  • CVE-2021-3177: Python Buffer Overflow RCE Vulnerability

  • CVE-2024-9287: Python venv RCE Vulnerability

  • CVE-2020-27619: Python RCE Vulnerability via eval()

  • CVE-2020-15801: Python 3.8.4 RCE Vulnerability
Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now and into the future.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English