- AN0037 · Analytic 0037 — Access to browser artifact locations (e.g., Chrome, Edge, Firefox) by processes like PowerShell, cmd.exe, or unknown tools, followed by file reads, decoding, or export operations indicating enumeration of bookmarks, autofill, or history databases.
- AN0038 · Analytic 0038 — Unauthorized shell or script-based access to browser config or SQLite history files, typically in ~/.config/google-chrome/, ~/.mozilla/, or ~/.var/app folders, indicating enumeration of bookmarks or saved credentials.
- AN0039 · Analytic 0039 — Scripting or CLI tool access to ~/Library/Application Support/Google/Chrome or ~/Library/Safari bookmarks, cookies, or history databases. Detection relies on unexpected processes accessing or reading from these locations.
AdversaryGraph public intelligence page
This page is part of Threat Matrix, the public browser workspace for the main AdversaryGraph platform. Use it for ATT&CK pivots, actor and technique context, similarity leads, detection coverage review, and analyst-ready investigation paths.
Validation disclaimer: TTP overlap, actor similarity, generated summaries, and coverage findings are investigation leads, not attribution proof or operational validation without analyst review.
Main AdversaryGraph project Documentation Malware Analysis GitHub
Browser Information Discovery
Adversaries may enumerate information about browsers to learn more about compromised environments. Data saved by browsers (such as bookmarks, accounts, and browsing history) may reveal a variety of personal information about users (e.g., banking sites, relationships/interests, social media, etc.) as well as details about internal network resources such as servers, tools/dashboards, or other related infrastructure. Browser information may also highlight additional targets after an adversary has access to valid credentials, especially Credentials In Files associated with logins cached by a browser. Specific storage locations vary based on platform and/or application, but browser information is typically stored in local files and databases (e.g., `%APPDATA%/Google/Chrome`).
Open detection, hunting, mitigation, and evidence workspace
Detection logic
Monitor processes and command-line arguments for actions that could be taken to gather browser bookmark information. Remote access tools with built-in features may interact directly using APIs to gather information. Information may also be acquired through system management tools such as Windows Management Instrumentation and PowerShell. System and network discovery techniques normally occur throughout an operation as an adversary learns the environment. Data and events should not be viewed in isolation, but as part of a chain of behavior that could lead to other activities, such as Collection and Exfiltration, based on the information obtained.
Observed actors
Correlated CTI and IR reports
Cyber Knowledge context
Use these routes to move from the ATT&CK behavior into explanation, implementation, evidence handling, validation, and defensive operations. Relevance is generated from explicit identifiers/names and governed topic mappings; it is not attribution evidence.
Blue Team & Defensive Security · Governed topic match · 51/100Internet exposure, service indexes, and infrastructure search
OSINT & Reconnaissance · Tactic learning route · 24/100Module 5 — Cloud, containers, and Kubernetes
Red Team & Offensive Security · Tactic learning route · 24/100Data classification, storage, cryptography, keys, backup, and deletion
Cloud Security · Tactic learning route · 24/100
MITRE mitigations
No ATT&CK mitigation relationship is published for this technique. Apply risk-based controls and verify scope.