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Mallory
MalwareRansomwareUsed by 8 actorsExploits 1 CVE

RedLine

Also known asRedLine Stealer

RedLine Stealer is a customizable information-stealing trojan and infostealer, written in .NET/C#, first identified in 2020. It is detected by ESET as MSIL/Spy.RedLine and MSIL/Spy.Agent. The malware is designed to collect passwords, cookies, credit card data, location and other system information, and browser data. Reported targeting includes credentials and data from browsers such as Google Chrome and Mozilla Firefox, as well as applications and services including Discord, FileZilla, Steam, Telegram, and VPN clients such as OpenVPN and ProtonVPN. The malware can also search for files, upload them to a remote server, download additional files, and execute them, and reporting notes it can be used to deliver additional malware including ransomware, RATs, trojans, miners, and other payloads.

RedLine appears repeatedly in commodity cybercrime and infostealer ecosystems. It has been observed as a payload delivered by other malware and loader operations including StealC-linked activity, Amadey, and multi-stage cracked-software infection chains. It is also referenced in broader credential-theft and traffic-team ecosystems, where stolen logs are monetized through criminal markets and Telegram channels. Reporting cited in the content states that LAPSUS$ acquired and used the RedLine password stealer in its operations.

Observed delivery vectors in the content include phishing campaigns, fraudulent websites, malicious applications, cracked or pirated software lures, SEO abuse, and Discord messages from compromised accounts carrying password-protected ZIP archives. One analyzed infection chain showed RedLine abusing AppLaunch.exe from the .NET Framework directory and using configuration pointing to net.tcp://45.15.156.187:23929/, with the botnet identified as "LogsDiller Cloud (Telegram: @logsdillabot)." Another mention lists a RedLine C2 as hrabrlonian[.]xyz:81 / 45.130.151[.]133.

Law-enforcement reporting in the content states that in October 2024 international authorities announced the takedown of the RedLine and META infostealers after seizing domains, servers, and Telegram accounts used by their administrators, and other reporting notes that RedLine variants disappeared due to coordinated law-enforcement action. The content also references Operation Endgame datasets derived primarily from RedLine and Meta stealer logs seized during enforcement actions.

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EXPLOITED CVES

Vulnerabilities exploited

1 CVE Mallory has correlated with this family across public research and vendor advisories. Each row links to the full Mallory page for that vulnerability.

1 CVES
CVE-2024-43451Microsoft Windows NTLM Hash Disclosure Spoofing VulnerabilityExploited in the wild

ClearSky Cyber Security has uncovered a new zero-day vulnerability, CVE-2024-43451, actively exploited in the wild, targeting Windows systems primarily in Ukraine. This flaw enables attackers to exploit URL files for malicious activity by performing actions as simple as a single right-click.

via security online infosecurityonline.info
THREAT ACTORS

Groups observed using it

8 distinct threat actors attributed by public researchers. Open in Mallory to see the full evidence chain and overlapping campaigns.

View more details
LAPSUS$

LAPSUS$ acquired and used the Redline password stealer in their operations.

via mitre attack websiteattack.mitre.org
Amadey

Amadey is a modular Windows botnet sold as MaaS by author "InCrease" on XSS/Exploit forums, active since 2018. It commonly drops Lumma, StealC, RedLine, CoinMiners, and RATs.

via breakglass intelintel.breakglass.tech
UAC-0194

ClearSky researchers observed that this vulnerability has been used to distribute various malware, including Redline Stealer and SparkRAT.

via security online infosecurityonline.info
YouTube Ghost Network

Others include StealC, RedLine, Odebug and other Phemedrone variants, and NodeJS loaders and downloaders.

via dark readingdarkreading.com
Zestix

Hudson Rock researchers investigated the alleged breaches and found the threat actor relied on distributing infostealers such as RedLine, Lumma, or Vidar... to harvest credentials.

via dark readingdarkreading.com
Void Blizzard

"Threat actors then use information-stealing malware, such as Raccoon Stealer and Redline, to acquire credentials and session tokens from the victim’s browser."

via recorded future blogrecordedfuture.com
MITRE ATT&CK

Techniques & procedures

28 distinct techniques documented for this family, organized by ATT&CK tactic.

Reconnaissance

1 technique
T1598Phishing for InformationEvidence1

This attack – known as ‘malvertising’ – is often aimed at users looking to download popular software applications.

Resource Development

2 techniques
T1583Acquire InfrastructureEvidence2

[ATK-16] Malvertising

T1588.001MalwareEvidence1

Adversaries may buy, steal, or download malware that can be used during targeting. Malicious software can include payloads, droppers, post-compromise tools, backdoors, packers, and C2 protocols. Adversaries may acquire malware to support their operations, obtaining a means for maintaining control of remote machines, evading defenses, and executing post-compromise behaviors.

Initial Access

5 techniques
T1078Valid AccountsEvidence3

Compromised accounts could be used to facilitate fraud, account takeover, or secondary market ticket resale schemes.

T1189Drive-by CompromiseEvidence1

One example is ClickFix, a technique using fake browser alerts, fraudulent update prompts and drive-by downloads to initiate compromise.

T1566PhishingEvidence3

Credential theft, phishing, ticket fraud, and social engineering are expected to pose greater operational risk than destructive malware.

T1566.001Spearphishing AttachmentEvidence1

The infection begins when an unsuspecting victim receives a phishing email carrying a malicious archive attachment.

T1566.003Spearphishing via ServiceEvidence1

They received a private message via Discord “from” an online friend asking them for feedback on a game the friend was writing. The "game" the online friend was writing was in a password-protected .ZIP file, which they had to download and extract with the password before running it. Unfortunately, the friend’s account had been compromised earlier, and the attacker was now using it to spread malicious software.

Execution

2 techniques
T1204User ExecutionEvidence1

When a user searches for a related term and clicks through to the malicious site, the attackers check the Referer header to confirm the user has come from a search engine, and then entice them into downloading malware disguised as a legitimate software application.

T1204.002Malicious FileEvidence1

The criminals even told the victims that if their antivirus software detected anything, that it was a false positive alarm and to ignore it.

Persistence

1 technique
T1078Valid AccountsEvidence3

Compromised accounts could be used to facilitate fraud, account takeover, or secondary market ticket resale schemes.

Privilege Escalation

1 technique
T1078Valid AccountsEvidence3

Compromised accounts could be used to facilitate fraud, account takeover, or secondary market ticket resale schemes.

Stealth

3 techniques
T1036MasqueradingEvidence2

KryptoCibule, cryptocurrency-focused malware that targeted Czech and Slovak users, was spread through a popular local file sharing service, masquerading as pirated games or downloadable content (DLC) for them.

T1078Valid AccountsEvidence3

Compromised accounts could be used to facilitate fraud, account takeover, or secondary market ticket resale schemes.

T1497Virtualization/Sandbox EvasionEvidence1

This may be to help determine if it is running in an emulator, virtual machine, or a sandbox, which could be a warning sign to the malware that it is being monitored or reverse engineered.

Credential Access

8 techniques
T1003OS Credential DumpingEvidence2

When successfully deployed and executed, information-stealing malware can harvest credentials (usernames, passwords, and session cookies) from infected environments and export them as logs to the attackers’ server.

T1056Input CaptureEvidence1

Security researchers documented widespread fraud campaigns involving fake ticketing platforms, fraudulent domains impersonating official World Cup services, credential harvesting operations, counterfeit mobile applications, and account compromise activity.

T1056.001KeyloggingEvidence1

Keylogging ( T1056.001, Credential Access / Collection ) - перехват нажатий клавиш для захвата вводимых вручную паролей, включая те, что не сохраняются в браузере.

T1528Steal Application Access TokenEvidence1

Fortinet found hundreds of thousands of user logins, plus more than 4,600 FIFA web addresses, in data swept up by credential-stealing malware like Vidar, LummaC2, and RedLine.

T1539Steal Web Session CookieEvidence7

an infostealer infection on an employee’s personal device could yield corporate virtual private network (VPN) credentials, single sign-on (SSO) tokens, and session cookies that could allow an attacker to bypass multifactor authentication (MFA).

T1555Credentials from Password StoresEvidence3

A stealer is malicious code that steals account information, passwords, financial data, and other sensitive personal information stored on a system.

T1555.003Credentials from Web BrowsersEvidence2

Beyond that, it steals stored credentials and cookies from Chrome and Firefox

T1649Steal or Forge Authentication CertificatesEvidence1

Through the malware installed by the Traffer, victims’ credentials and other information are stolen, and the stolen data is sold on credential markets or Telegram.

Discovery

4 techniques
T1057Process DiscoveryEvidence1

It also collects some information about the environment where it is running, such as display size, the processor, RAM, video card, and a list of programs and processes on the computer.

T1082System Information DiscoveryEvidence1

Redline Stealer performs some fairly common activities for information-stealing malware, such as collecting information about the version of Windows the PC is running, username, and time zone. It also collects some information about the environment where it is running, such as display size, the processor, RAM, video card, and a list of programs and processes on the computer.

T1087.004Cloud AccountEvidence1

T1087.004: Account Discovery: Cloud To establish a foundational understanding of the target environment, a threat actor might first locate the identities operating within it... AzureHound parameters that facilitate the MITRE technique Account Discovery: Cloud Account include the following: list users list devices list device-owners list service-principals list service-principal-owners

T1497Virtualization/Sandbox EvasionEvidence1

This may be to help determine if it is running in an emulator, virtual machine, or a sandbox, which could be a warning sign to the malware that it is being monitored or reverse engineered.

Collection

4 techniques
T1005Data from Local SystemEvidence2

Banking trojans and information stealers materialized as the second most prevalent type of cybercrime, with malware families like RedLine, Lumma, LokiBot, Negasteal, and ZBot taking up the top spots.

T1056Input CaptureEvidence1

Security researchers documented widespread fraud campaigns involving fake ticketing platforms, fraudulent domains impersonating official World Cup services, credential harvesting operations, counterfeit mobile applications, and account compromise activity.

T1056.001KeyloggingEvidence1

Keylogging ( T1056.001, Credential Access / Collection ) - перехват нажатий клавиш для захвата вводимых вручную паролей, включая те, что не сохраняются в браузере.

T1560Archive Collected DataEvidence2

These are packaged into logs and sold, validated by intermediaries, and eventually monetized as enterprise access

Command and Control

2 techniques
T1105Ingress Tool TransferEvidence5

Additionally, it has an optional loader functionality that can be used to retrieve additional payloads such as infostealers, remote access trojans (RATs) and ransomware... In one case, XTinyLoader was installed, which subsequently downloaded LockBit Black ransomware.

T1571Non-Standard PortEvidence1

Process 6280 was seen repeatedly connecting to 45.15[.]156.187 over port 23929 (T1571 – Non-Standard Port).

Exfiltration

1 technique
T1041Exfiltration Over C2 ChannelEvidence1

it can search for files on the PC and upload them to a remote server

INDICATORS OF COMPROMISE

IOCs tracked for this family

139 indicators attributed across vendor reports, sandbox runs, and researcher write-ups. Full values are available in Mallory.

View more in app
Network
91 tracked

IPs, domains, and DNS infrastructure linked to this family.

Hashes
38 tracked

File hashes (MD5, SHA-1, SHA-256) from samples and reports.

Other
10 tracked

Other indicator types observed in public reporting.

TypeValueLatest sighting
ip.v4●●●●●●●●●●●●View more in app4 days ago
ip.v4●●●●●●●●●●●●View more in app4 days ago
hash.sha256●●●●●●●●●●●●View more in app6 days ago
domain●●●●●●●●●●●●View more in app22 days ago
ip.v4●●●●●●●●●●●●View more in app22 days ago
ip.v4●●●●●●●●●●●●View more in app22 days ago
What this page doesn’t show

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This page is what’s public. Mallory adds the parts that aren’t: which of your assets match these IOCs, which detections are missing, which campaigns to expect next, and what to do in the next 30 minutes.
IOC matching139

Match every observed IP, domain, and hash against your live telemetry.

Threat actor attribution8

Named campaigns wielding this family, with evidence pinned to each claim.

Exploited vulnerabilities1

CVEs this family uses for access and lateral movement.

Detection signatures

YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.

MITRE ATT&CK mapping28

Every documented technique, ranked by evidence weight.

Researcher chatter

Reddit, Mastodon, and CTI community discussion around this family.