Куда я попал?
SECURITM это SGRC система, ? автоматизирующая процессы в службах информационной безопасности. SECURITM помогает построить и управлять ИСПДн, КИИ, ГИС, СМИБ/СУИБ, банковскими системами защиты.
А еще SECURITM это место для обмена опытом и наработками для служб безопасности.

Credentials from Web Browsers

Adversaries may acquire credentials from web browsers by reading files specific to the target browser. (Citation: Talos Olympic Destroyer 2018) Web browsers commonly save credentials such as website usernames and passwords so that they do not need to be entered manually in the future. Web browsers typically store the credentials in an encrypted format within a credential store; however, methods exist to extract plaintext credentials from web browsers. For example, on Windows systems, encrypted credentials may be obtained from Google Chrome by reading a database file, AppData\Local\Google\Chrome\User Data\Default\Login Data and executing a SQL query: SELECT action_url, username_value, password_value FROM logins;. The plaintext password can then be obtained by passing the encrypted credentials to the Windows API function CryptUnprotectData, which uses the victim’s cached logon credentials as the decryption key. (Citation: Microsoft CryptUnprotectData April 2018) Adversaries have executed similar procedures for common web browsers such as FireFox, Safari, Edge, etc. (Citation: Proofpoint Vega Credential Stealer May 2018)(Citation: FireEye HawkEye Malware July 2017) Adversaries may also acquire credentials by searching web browser process memory for patterns that commonly match credentials.(Citation: GitHub Mimikittenz July 2016) After acquiring credentials from web browsers, adversaries may attempt to recycle the credentials across different systems and/or accounts in order to expand access. This can result in significantly furthering an adversary's objective in cases where credentials gained from web browsers overlap with privileged accounts (e.g. domain administrator).

ID: T1503
Tactic(s): Credential Access
Platforms: Linux, Windows, macOS
Version: 1.1
Created: 17 Jun 2019
Last Modified: 25 Apr 2025

Procedure Examples

Name Description

Mitigations

Mitigation Description
Password Policies

Set and enforce secure password policies for accounts to reduce the likelihood of unauthorized access. Strong password policies include enforcing password complexity, requiring regular password changes, and preventing password reuse. This mitigation can be implemented through the following measures: Windows Systems: - Use Group Policy Management Console (GPMC) to configure: - Minimum password length (e.g., 12+ characters). - Password complexity requirements. - Password history (e.g., disallow last 24 passwords). - Account lockout duration and thresholds. Linux Systems: - Configure Pluggable Authentication Modules (PAM): - Use `pam_pwquality` to enforce complexity and length requirements. - Implement `pam_tally2` or `pam_faillock` for account lockouts. - Use `pwunconv` to disable password reuse. Password Managers: - Enforce usage of enterprise password managers (e.g., Bitwarden, 1Password, LastPass) to generate and store strong passwords. Password Blacklisting: - Use tools like Have I Been Pwned password checks or NIST-based blacklist solutions to prevent users from setting compromised passwords. Regular Auditing: - Periodically audit password policies and account configurations to ensure compliance using tools like LAPS (Local Admin Password Solution) and vulnerability scanners. *Tools for Implementation* Windows: - Group Policy Management Console (GPMC): Enforce password policies. - Microsoft Local Administrator Password Solution (LAPS): Enforce random, unique admin passwords. Linux/macOS: - PAM Modules (pam_pwquality, pam_tally2, pam_faillock): Enforce password rules. - Lynis: Audit password policies and system configurations. Cross-Platform: - Password Managers (Bitwarden, 1Password, KeePass): Manage and enforce strong passwords. - Have I Been Pwned API: Prevent the use of breached passwords. - NIST SP 800-63B compliant tools: Enforce password guidelines and blacklisting.

Detection

Identify web browser files that contain credentials such as Google Chrome’s Login Data database file: AppData\Local\Google\Chrome\User Data\Default\Login Data. Monitor file read events of web browser files that contain credentials, especially when the reading process is unrelated to the subject web browser. Monitor process execution logs to include PowerShell Transcription focusing on those that perform a combination of behaviors including reading web browser process memory, utilizing regular expressions, and those that contain numerous keywords for common web applications (Gmail, Twitter, Office365, etc.).

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