A single malware infection on one employee's laptop can hand attackers the keys to your entire organization. Not just a password, but everything the browser remembered: saved logins, active session cookies, autofill data and more.

The malware behind this is known as an infostealer, and the data it exfiltrates is packaged into what threat actors call stealer logs. These logs are traded and shared at massive scale, and they have become one of the most damaging sources of corporate compromise today.

Understanding what stealer logs are, what they contain and how attackers use them is essential for any organization that wants to defend against account takeover and session hijacking.

In this article, we’ll break down how infostealers work, what ends up in a stealer log and how these logs can be leveraged defensively to protect your business.

Key Takeaways

  • An infostealer is malware that harvests everything on a device in seconds, then often deletes itself. The output is a stealer log.
  • A log contains far more than passwords: session cookies, autofill data, system information and a screenshot of the desktop at infection time.
  • Stolen session cookies bypass MFA entirely. The attacker never sees a login prompt, so there is no code to challenge.
  • Infostealers target the device, not your servers. A personal laptop used for work can expose corporate access without your company ever being breached.
  • A stealer log exposure is an incident, not a password reset. The whole machine must be treated as compromised.

What are they?

An infostealer (or simply stealer) is a type of malware designed to silently harvest sensitive data from an infected device and send it back to the attacker. Unlike ransomware, it is built to stay quiet and unnoticed: it runs once, exfiltrates everything it can and often deletes itself.

The exfiltrated data is bundled into a stealer log: a folder of files describing a single infected machine. These logs are then collected, repackaged and distributed through private Telegram channels and underground forums, either sold in bulk or shared for free to build reputation.

Infostealers are typically distributed through cracked software, malicious ads, phishing attachments and fake downloads. Because they target the individual device rather than a company's servers, a personal computer used for work can expose corporate credentials without the organization ever being directly breached.

What a stealer log contains Description
Credentials Usernames and passwords saved in browsers and applications, exported to files such as Passwords.txt.
Cookies & tokens Active session cookies and authentication tokens that can let an attacker log in without needing the password or MFA.
Autofill & forms Data saved for autocomplete: names, addresses, phone numbers and other personal information.
System information Machine details such as IP address, country, operating system, hardware ID and installed software.
Wallets & extras Cryptocurrency wallet files, FTP/VPN configs, Discord tokens and a desktop screenshot taken at infection time.

The infection-to-exposure timeline

The most misunderstood thing about infostealers is how fast the damaging part is over. There is no dwell time to detect, no lateral movement to spot. By the time anything looks wrong, the data left the building long ago and the malware may no longer be on disk.

Infection Icon

1. Infection. The user runs something they trusted: a cracked application, a fake installer from a search ad, a “download” from a phishing email. No exploit or admin rights are needed, the user simply executes it.

Exfiltration Icon

2. Exfiltration, in seconds. The stealer copies the browser credential stores, cookie databases, autofill tables, crypto wallets and a screenshot, then ships them out. This is a single burst of activity, not a persistent presence, and it is frequently done before any scheduled scan would ever run.

Packaging Icon

3. Packaging. The operator's panel bundles the haul into a per-machine folder: Passwords.txt, cookie files, system info, screenshot. Many stealers then delete themselves, leaving the victim with no symptom to notice.

Distribution Icon

4. Distribution. Logs are sold in bulk or dumped free into Telegram channels to build reputation. One infection is now in the hands of hundreds of unrelated actors — this is the point of no return, and it is why deleting the malware later changes nothing.

Exploitation Icon

5. Exploitation, whenever they get to it. Someone eventually searches the corpus for vpn, sso or your domain name. That may be days or months after infection, long after the incident would have been considered closed.

Cleaning the laptop removes the malware. It does not un-share the data. Every credential and cookie that was on that machine is already somebody else's property.

Why are stealer logs important for enterprise cybersecurity?

Stealer logs are especially dangerous because they go beyond passwords. Even an organization with strong password policies and MFA can be compromised through the data in a single log. A stealer log can enable:

  • Session hijacking using stolen cookies, bypassing both the password and multi-factor authentication.
  • Unauthorized access to VPNs, email, CRMs, cloud consoles and internal panels.
  • Initial access for ransomware, since access brokers routinely resell corporate credentials sourced from stealer logs.
  • Theft of sensitive or confidential client data.

The session cookies are what make these logs so valuable. When an attacker imports a stolen cookie into their own browser, the service treats them as the already-authenticated user. There is no login prompt and no MFA challenge to trigger, which is why strong passwords alone are not enough.

From a defensive perspective, monitoring stealer logs lets security teams detect infected employees and exposed credentials early, so they can force password resets, revoke active sessions and clean up the affected device before the access is abused.

Why cookies beat MFA

This is the part that surprises most teams, so it is worth being precise about it. MFA protects the act of logging in. It does not protect a session that is already logged in.

When you authenticate, the service hands your browser a session cookie: a token that says “this browser already proved who it is, don't ask again.” Every subsequent request carries that cookie instead of your password. That is the entire mechanism that keeps you from re-entering an MFA code on every page load.

An infostealer copies that cookie. The attacker imports it into their own browser and loads your webmail or VPN portal, and the service checks the cookie, finds it valid, and serves the account. The login flow never runs. There is no password prompt to fail and no MFA challenge to trigger, because from the application's point of view nobody is logging in — an already-authenticated user is simply continuing their session.

  • Changing the password does not always help. Unless the service explicitly invalidates existing sessions on password change, the stolen cookie keeps working.
  • The access looks legitimate. It is a valid session for a valid user, so it rarely trips the alerting that a failed-password storm would.
  • Long-lived sessions widen the window. “Remember me for 30 days” is a convenience feature that is also a 30-day key for whoever holds the cookie.

The practical consequence: after a stealer log exposure, revoking active sessions is not optional cleanup, it is the actual remediation. A password reset without a session revocation leaves the door open.

Infostealer families compared

Infostealers are overwhelmingly sold as malware-as-a-service: the developer maintains the malware and a web panel, and affiliates pay a subscription to distribute it and collect the logs. That business model is why so many unrelated actors produce logs with a near-identical structure, and why the ecosystem reshuffles so quickly when one family is disrupted — affiliates simply move to a competitor.

Family Active since Notable traits
RedLine ~2020 For years the most prolific family and the archetype of the malware-as-a-service model. Targeted by a major law enforcement takedown in late 2024.
Lumma (LummaC2) ~2022 Rose to prominence as RedLine declined, with strong session-cookie and crypto-wallet targeting. Disrupted by a coordinated action in 2025.
Vidar ~2018 One of the longest-running families, descended from the earlier Arkei stealer, and still actively developed.
StealC ~2023 Explicitly modelled on Vidar and Raccoon, sold cheaply with a customisable exfiltration configuration.
Raccoon ~2019 An early malware-as-a-service success. Its operation was disrupted in 2022, then relaunched as a second version.
RisePro / MetaStealer ~2022 Smaller but persistent families; MetaStealer is closely derived from the RedLine codebase.

The practical takeaway for a defender is that the family name barely matters. Whichever one infected the machine, the output is the same: credentials, cookies and autofill data in somebody else's hands. The ranking of families changes every time one is taken down; the exposure it creates does not.

Stealer logs in SynScan's data

85.9 B+

Credentials indexed from stealer logs

3

Continuously-growing log collections

3,512

Breached databases indexed

SynScan platform data, refreshed daily. Stealer logs reach us as a handful of never-ending collections rather than discrete breaches, which is why so few sources hold so many credentials.

When we group everything we've indexed by the type of source it came from, stealer logs are the second largest category of exposed credentials we hold, behind only the combo lists that are frequently built from them. Between them, those two categories dwarf every individual company breach in our database.

Credentials indexed by SynScan, by source category. Top 8 of 47 categories.

It is even starker at the level of individual datasets. Ranking every source we index by the number of credentials in it, the largest single source in our entire database is a stealer log collection — bigger than any breach of any company, by a wide margin:

The largest credential sources indexed by SynScan. Stealer-log collections highlighted.

71% of every stealer-log credential we hold comes from a single collection: General Public Stealer Logs. It is not a breach that happened once and ended. It never stops growing, because somewhere right now another laptop is being infected and another log is being posted.

Two things are worth reading out of that. First, malware-sourced credentials are not a niche next to conventional breaches, they are the main event. Second, the volume arrives from a small number of never-ending collections rather than discrete incidents, so there is no “breach announcement” to react to. Nobody will email you to say your employee got infected. Either you are watching this data, or the first sign is the intrusion itself.

How we approach this at SynScan

At SynScan, we treat stealer logs as a critical early-warning signal for our clients, so we built tooling to collect and analyze them at scale. This is our process:

Source Monitoring Icon

Automated source monitoring. Our tooling continuously watches the Telegram channels and forums where threat actors publish stealer logs, collecting new posts and their attachments automatically as they appear.

File Download Icon

Download and extraction. The shared files, whether direct attachments or links to external hosting, are downloaded and unpacked. Logs arrive in every archive format, so extraction is handled automatically before anything else.

Classification Icon

Classification. Each extracted folder is inspected to tell a real stealer log (identified by files such as Passwords.txt) apart from plain combo lists and junk, discarding duplicates along the way.

Analysis Icon

Per-machine analysis. For every log we parse the information files to extract IP, country, operating system, hardware ID and infection date, count the exposed credentials, cookies and autofills, and even fingerprint the stealer family that produced it (RedLine, Lumma, Vidar, StealC, Raccoon and others).

Indexing and Alerting Icon

Indexing and alerting. The normalized records are indexed into our search infrastructure alongside billions of other exposed credentials. Exposures matching our clients' domains are then surfaced in the platform, so security teams can act before the stolen data is used.

The result is a continuously updated view of infostealer exposure that turns the same logs attackers trade into an early warning system for our clients.

Stealer logs are only one half of the credential exposure picture. For the other half, the aggregated lists these logs so often feed into, read our companion article on combo lists.

How to protect your organization

Because infostealers target the device rather than your servers, protecting against them combines endpoint hygiene with fast reaction when something is exposed:

  • Deploy EDR/antivirus and keep systems patched, so infostealers are blocked or detected before they can exfiltrate data.
  • Discourage saving corporate passwords in browsers and avoid cracked software, one of the most common infection vectors.
  • Shorten session lifetimes and revoke sessions on password changes, limiting how long a stolen cookie stays useful.
  • Monitor stealer log exposure for your domains, so infected employees are detected and remediated quickly.

Frequently Asked Questions

A combo list is just a flat list of user/password pairs. A stealer log is far richer: it is the full output of an infostealer infection on one machine, including credentials but also session cookies, autofill data, system information and a screenshot. Combo lists are often extracted from stealer logs.

Because they contain active session cookies. When an attacker imports a stolen cookie into their browser, the service sees them as already logged in, so it never asks for the password or the MFA code. MFA protects the login step, but a hijacked session skips that step entirely.

Some of the most widely seen families include RedLine, Lumma (LummaC2), Vidar, StealC, Raccoon, RisePro and MetaStealer. They are usually sold as malware-as-a-service, which is why so many different threat actors distribute logs with a similar structure — and why the ranking changes quickly whenever a family is disrupted and its affiliates move elsewhere.

Treat the whole device as compromised. Isolate and scan the machine to remove the malware, reset every credential that was stored on it and revoke all active sessions so stolen cookies stop working. Then review authentication logs for suspicious access and confirm the infection vector to prevent a repeat.

It is necessary, but it is not sufficient, and the reason is structural. Infostealers are repacked constantly to defeat signatures, and are typically sold alongside tooling whose entire purpose is evading detection. They need no exploit: the user runs them willingly, believing they are a game crack or an installer. And they run once and exit, often deleting themselves, so the window in which there is anything on disk to detect can be seconds long.

Prevention will therefore fail some of the time, on managed and unmanaged devices alike. That is why the second half matters: knowing when it has failed, by monitoring whether your credentials have surfaced in the logs being traded.

Far longer than most teams assume. Session cookies expire in days or weeks, so that window is real but bounded. The credentials do not expire: they are copied into new combo lists and re-shared indefinitely, so a password from a log published years ago is still being tried against login portals today. Unless it was changed everywhere it was reused, an old log remains a live risk.