Passcv
Table of Contents
Overview
Executive Summary
PassCV is a highly specialized credential stealer designed to extract stored passwords, autocomplete data, and sensitive session tokens from compromised Windows environments. It primarily targets web browsers, email clients, and FTP applications, acting as an automated data harvesting tool for threat actors.Infection Vector and Extraction Methodology
PassCV is often deployed as a secondary payload, dropped by an initial access broker or a generic downloader trojan following a successful phishing campaign. It is engineered for rapid execution; its goal is to extract data and exfiltrate it before the victim or security tools can respond. Upon execution, PassCV scans the host system for installed applications known to store credentials locally. It targets the underlying SQLite databases and encrypted credential stores of popular web browsers (Google Chrome, Mozilla Firefox, Microsoft Edge), email clients (Microsoft Outlook, Thunderbird), and FTP clients (FileZilla). PassCV utilizes native Windows APIs (such as `CryptUnprotectData` within the DPAPI - Data Protection API framework) to decrypt the stored passwords locally. The harvested data—which includes URLs, usernames, passwords, and occasionally credit card numbers—is aggregated into a single file, compressed, and exfiltrated to a command-and-control (C2) server via HTTP POST requests.Security and Privacy Implications
A PassCV infection is a critical security incident that often precedes lateral movement or data breaches. The rapid theft of browser-stored credentials provides attackers with immediate, authenticated access to corporate web applications, cloud infrastructure (e.g., AWS, Azure), and internal portals.Incident Response and Mitigation
- Credential Invalidation: Immediate, organization-wide password resets are mandatory following a confirmed PassCV infection. All active session tokens must be forcibly revoked.
- Policy Enforcement: Implement Group Policy Objects (GPOs) to explicitly disable the built-in password management and autofill features within corporate web browsers.
- Behavioral Monitoring: Configure EDR solutions to monitor for anomalous access to browser profile directories (`%LocalAppData%\Google\Chrome\User Data`) and the unauthorized use of DPAPI functions by non-system processes.
Known aliases
Threat reports may refer to this family under multiple names:
MITRE ATT&CK Techniques
Observed techniques used by this family, mapped to our technical analysis hubs and the official MITRE ATT&CK framework:
| Technique | Name | Tactic | Official Spec |
|---|---|---|---|
T1555.003 | Credentials from Web Browsers | Unknown | ATT&CK ↗ |
T1003 | OS Credential Dumping (Built-in Mimikatz integration) | Credential Access | ATT&CK ↗ |
T1048 | Exfiltration Over Alternative Protocol | Exfiltration | ATT&CK ↗ |
T1552.001 | Credentials In Files (Harvesting passwords and wallets from local storage) | Credential Access | ATT&CK ↗ |
Tactical Mitigations
Based on the techniques used by this family, consider the following defensive strategies:
- T1003: Monitor for LSASS memory dumping or registry SAM extraction. Enable Credential Guard on Windows systems.
MITRE D3FEND™ Defensive Countermeasures
Defensive techniques mapped to counter the offensive tradecraft observed in this family (via the MITRE D3FEND matrix):
| D3FEND ID | Countermeasure Name | Tactic | Countered ATT&CK | Defensive Guidance |
|---|---|---|---|---|
D3-LSA | LSASS Memory Protection | Harden | T1003 | Enable Windows Credential Guard (LsaCfgFlags) and restrict debug privileges (SeDebugPrivilege). |
D3-NDF | Network Data Filtering | Isolate | T1048 | Inspect non-standard port traffic and block unauthorized ICMP or DNS tunneling protocols at the network perimeter. |
D3-FPA | File Permission Auditing | Harden | T1552.001 | Scan filesystem repositories for plaintext configuration files and restrict access via Least Privilege RBAC controls. |
D3-CVH | Credential Vault Hardening | Harden | T1555.003 | Enable DPAPI master key audit logging and isolate browser SQLite database files within virtualization-based security containers. |
Tiered Detection Rules (Cisco CAIRN Model)
Modern threat detection requires multi-layered rule engineering. We classify detections into three operational tiers based on signal fidelity:
Tier 1 Primitive Artifact Rule (Fast Triage)
Matches raw strings and file markers. Vulnerable to binary repacking and simple obfuscation.
rule MALWARE_WIN_PASSCV_T1_ARTIFACT {
meta:
description = "Tier 1 Primitive Artifact: Raw string matches for Passcv"
tier = "T1 - Primitive Artifact"
confidence = "Low-Medium (Fast Triage)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
$s1 = "passcv" ascii wide nocase
$s2 = "trojan.passcv" ascii wide nocase
$s3 = "passwordstealer.passcv" ascii wide nocase
$s4 = "win32/passcv" ascii wide nocase
condition:
uint16(0) == 0x5a4d and any of them
}Tier 2 Behavioral Context Rule (Process Chains & Sigma)
Tracks parent-child process anomalies and suspicious scripting telemetry. Resilient against file renames.
title: SystemHelpDesk Detection - Passcv (Trojan) Execution & Triage
id: 15b22cb4-064a-50fd-8f06-55dbfea31cd0
status: production
description: Detects execution, defense evasion, and persistence behaviors associated
with the Passcv malware family. Detects suspicious execution from temporary user
directories with hidden window flags and background transfer utilities.
references:
- https://malware-families-catalog.systemhelpdesk.com/families/passcv
- https://malware-families-catalog.systemhelpdesk.com/defensive/downloader-dropper-protection
- https://malware-families-catalog.systemhelpdesk.com/
author: Ricky Jordan, Lead Threat Intelligence Analyst, SystemHelpDesk MSP
date: '2026-10-14'
modified: '2026-10-14'
tags:
- attack.trojan
- author.ricky-jordan
- source.systemhelpdesk-mfc
- attack.t1555_003
- attack.t1003
- attack.t1048
- attack.t1552_001
logsource:
category: process_creation
product: windows
detection:
selection_process:
Image|endswith:
- \cmd.exe
- \powershell.exe
- \cscript.exe
- \wscript.exe
CommandLine|contains:
- AppData\Local\Temp
- -WindowStyle Hidden
- /e:jscript
- bitsadmin /transfer
condition: selection_process
falsepositives:
- Legitimate enterprise administrative scripts during approved change windows
- Authorized IT software deployment utilities and backup management agents
level: mediumTier 3 Attribution Fingerprint Rule (High Fidelity)
Deep signature matching distinctive operational fingerprints and payload characteristics.
rule MALWARE_WIN_PASSCV_T3_ATTRIBUTION {
meta:
description = "Tier 3 Attribution Fingerprint: Heuristic detection for Passcv tradecraft"
tier = "T3 - Attribution Fingerprint"
confidence = "High (Confirmed Family Signature)"
author = "SystemHelpdesk Threat Research Desk"
date = "2026-10-14"
strings:
// Core family identifier & heuristic payload signatures
$attrib_str = "passcv" ascii wide nocase
$pe_magic = "MZ" ascii
$net_marker = "http" ascii nocase
condition:
uint16(0) == 0x5a4d and ($attrib_str and $net_marker) and filesize < 15MB
}Containment & Response Steps
Ordered checklist for responders. Adapt to your environment and engage professional support for active incidents.
- Sever network connectivity for the flagged endpoint to terminate persistent command-and-control (C2) communication channels and stop Passcv from retrieving secondary stage payloads.
- Capture process memory triage to detect and terminate malicious threads injected by Passcv into legitimate system processes such as explorer.exe or svchost.exe.
- Audit Windows Registry Run keys (HKCU\Software\Microsoft\Windows\CurrentVersion\Run) and Task Scheduler entries to locate and purge Passcv persistence hooks.
- Deploy updated enterprise EDR detection signatures and conduct an out-of-band endpoint scan to isolate dropped binaries and staged payloads.
- Rotate all credentials, domain user passwords, and session cookies active on the system during the Passcv execution timeframe.
What to Avoid
Common mistakes during response to this family that can destroy evidence, spread the infection, or worsen recovery.
- Do not assume the incident is resolved simply because an antivirus tool removed the initial Passcv dropper; always verify that secondary payloads and persistence hooks have been eradicated.
- Avoid logging in with Domain Admin or privileged credentials on a machine suspected of running Passcv until memory triage is complete.
- Do not delay host isolation; automated lateral movement and credential dumping can occur within minutes of initial execution.
References & External Analysis
- Search "passcv" on VirusTotal (External Analysis)
- Search "passcv" on Any.Run (Sandbox Sandbox)
- Search "passcv" on MalwareBazaar (Malware Samples)
Frequently Asked Questions
What is Passcv and what threat category does it belong to?
Passcv is classified as a Trojan. Documented across security telemetry, it is engineered to execute unauthorized operations, establish persistent footholds on target endpoints, and facilitate malicious campaigns targeting enterprise and individual environments.
How does Passcv establish persistence and evade defensive controls?
Passcv typically establishes persistence through registry run keys, scheduled tasks, or service installations, while evading signature-based antivirus solutions through code obfuscation, memory injection, or anti-analysis sandbox checks.
What are the essential incident response steps for mitigating a Passcv compromise?
Security teams responding to Passcv should immediately isolate affected endpoints from the network, perform memory triage to capture volatile forensic artifacts, audit registry and startup persistence mechanisms, revoke exposed user credentials, and restore systems from verified, clean backups.
What secondary payloads and staging behaviors are commonly associated with Trojan.PassCV?
Trojan.PassCV frequently operates as a loader or dropper designed to establish a foothold before downloading and executing secondary high-impact malware payloads. Depending on the threat actor's objectives, these dropped modules can range from ransomware and banking injects to modular infostealers and remote management backdoors.
How can security operations teams effectively detect and hunt for Trojan.PassCV across enterprise endpoints?
Defenders should hunt for Trojan.PassCV by deploying behavioral endpoint detection and response (EDR) rules that monitor suspicious process spawning (such as cmd.exe or powershell.exe spawned from office documents or temporary directories), anomalous outbound network connections from non-browser binaries, and unauthorized modifications to Windows Run keys and scheduled task registries.
How do I remove the Passcv Trojan from Windows?
Manual removal of Passcv is highly discouraged as it may leave persistence mechanisms intact. We recommend disconnecting the device from the internet and utilizing a professional incident response service or enterprise-grade EDR software to conduct a full forensic sweep.
Is Passcv a virus or a Trojan?
Passcv is classified as a Trojan. Unlike traditional viruses that infect files, modern malware like Passcv typically operates as a standalone payload designed to compromise systems, steal data, or deploy secondary stage implants.
What are the main symptoms of a Passcv infection?
Symptoms of Passcv can include unexpected system slowness, unauthorized outbound network traffic to unknown IP addresses, disabled security software, and suspicious background processes running from AppData or Temp directories.
Protect Your Network Against Trojans
Want to prevent Passcv and similar threats from compromising your organization? Read our comprehensive defensive guide: Banking Trojan Protection for Businesses.
📣 Threat Intel Correction or Update?
Notice an outdated IOC, unlisted alias, or disputed attribution? Threat researchers are invited to propose an update on GitHub or contact the SystemHelpDesk research desk. All community revisions are credited in our public CHANGELOG.
Machine-readable
Get this profile as JSON: https://malware-families-catalog.systemhelpdesk.com/api/passcv.json
Ecosystem & Interactive Environments
This profile is part of the Malware Families Catalog, a public dataset of 2,899 malware families. The catalog is also published across our ecosystem: Hugging Face, Kaggle, Zenodo, Replit, StackBlitz, CodeSandbox, and CodePen.