Top Stealer Log Telegram Channels

Telegram has become a widely used tool among cybercriminals involved in the collection and trade of infostealer logs. These logs, obtained by malware designed to steal credentials, cookies, cryptocurrency wallets, and other sensitive information, are often delivered and circulated through Telegram infrastructure.

The platform is exploited in two main ways. First, attackers use bots to automatically receive data from compromised machines. Second, Telegram groups and channels are used to promote, share, or sell these stolen datasets within illegal communities.

The image represents Telegram stealer log channels and dark web cybercrime activity.

This article examines how cybercriminals misuse Telegram for stealer log distribution, including the use of automated bots, the emergence of log-sharing channels, monetization models, investigation approaches by threat intelligence teams, and how Telegram has responded when abuse is detected.

What Are Telegram Log Clouds?

Telegram log clouds are Telegram channels dedicated to reposting or monetizing large volumes of credentials harvested by stealer malware. Unlike dark web markets that require credentialed access or Tor browsers, these channels are usually accessible with a simple invite link or keyword search.

Many of these channels operate under a SaaS-like model. They publish free “sample” credential dumps to attract followers while offering tiered subscriptions or one-time access to fresher, higher-value logs. Payment is typically made in cryptocurrency, and some channels rely on Telegram bots to manage transactions and data delivery.

Despite Telegram’s increasing moderation efforts—especially after public scrutiny in 2024—these groups persist by frequently rotating channel names, using mirror accounts, and maintaining backup groups. This operational fluidity requires continuous monitoring by threat intelligence teams.

Below is an intelligence-led breakdown of five major log cloud channels that have shaped the stealer log ecosystem on Telegram. Due to the platform’s volatility, this analysis avoids citing follower counts or activity frequencies, which change rapidly in response to takedowns.

Key Characteristics of Telegram Stealer Log Channels

Telegram log cloud channels follow a distinct operational model that differentiates them from traditional underground forums. Understanding their core features helps illuminate why they’ve become central to the infostealer economy.

Ease of Use: No special browser or credentials are needed. A Telegram account and a link or search term are enough to join and access data.

Data Scale: Logs from hundreds of thousands of infections circulate through these channels, often far exceeding what’s seen on dark web marketplaces.

Monetization: Operators use tiered subscription models. Free samples attract followers, while paid access unlocks premium logs.

Automation: Some log clouds rely on Telegram bots for both log delivery and transaction processing.

Data Scope: Credentials for corporate tools, VPNs, RDP, banking, social media, and internal services are all commonly found.

Together, these characteristics make Telegram log clouds fast, scalable, and difficult to disrupt. Their user-friendly design, combined with automation and profit incentives, ensures they continue to attract cybercriminals despite increasing enforcement pressure.

Although Telegram log clouds are highly active, they represent just one layer of a broader cybercrime infrastructure. Threat actors also use darknet forums and marketplaces to exchange stolen data and tools. SOCRadar’s Dark Web Monitoring module supports continuous tracking across multiple sources, helping organizations detect exposures early and respond effectively.

SOCRadar Dark Web Monitoring

Notable Telegram Channels Fueling the Stealer Log Economy

Several Telegram channels and groups became especially notorious between 2023 and 2025 for their role in distributing or selling infostealer logs. Below are a few of the most promine

1.Moon Cloud

Moon Cloud Telegram channel

Moon Cloud stands out as a high-traffic Telegram channel focused on circulating credentials obtained through infostealer malware. Instead of limiting itself to its own sources, the channel curates and republishes stolen data from various other Telegram channels and bot-driven malware campaigns, acting as a central aggregation hub.

The operators describe the channel as a comprehensive resource, emphasizing its ability to consolidate log posts from across the Telegram ecosystem. Advertised as offering favorable pricing and daily updates, Moon Cloud caters to threat actors looking for both volume and convenience in credential dumps.

Its structure supports both open and gated access. While some logs are shared publicly to attract users, others are reserved for paying subscribers. This blend of wide availability and monetized exclusivity makes Moon Cloud a consistent presence in the Telegram-based credential trade, despite periodic moderation efforts targeting similar channels.

Traits: Aggregator role, hybrid free/premium structure, broad sourcing across Telegram and stealer malware families.

2. Observer Cloud

Observer Cloud Telegram channel

Observer Cloud operates as a long-standing Telegram log distribution channel with a focus on openly sharing credential dumps and combo lists. It presents itself under the guise of educational intent, yet its primary function aligns with the mass dissemination of infostealer-derived data. The channel often labels shared logs by their stealer origin, such as Lumma or RedLine, providing minimal attribution and structure.

In addition to credentials, Observer Cloud occasionally posts lightweight tools for parsing or filtering logs, and shares basic scripts related to credential search or categorization. These extras, along with the channel’s regular posting cadence, have helped it build a semi-stable following among lower-tier threat actors and data resellers.

While it lacks the automation or polish of more commercialized log clouds, Observer Cloud remains notable for its persistence, accessibility, and role in fueling downstream credential abuse.

Traits: Open access, malware family tagging, inclusion of lightweight tools, consistent low-friction distribution.

3. Daisy Cloud

Daisy Cloud Telegram channel

Daisy Cloud is a long-standing Telegram channel that has been active since 2021. It advertises itself as a reliable source of fresh, one-hand stealer logs, with daily updates sourced directly from recent malware infections. The majority of its data appears to come from infostealers like RedLine, and often includes credentials for banking, crypto, email, and enterprise accounts.

The channel operates with a tiered access model, offering free sample dumps to attract followers while reserving full access for paying users. Some versions of Daisy Cloud integrate Telegram bots to automate content delivery and manage user interactions, streamlining the distribution process.

Despite increased moderation on Telegram, Daisy Cloud has maintained consistent activity by rotating channel names or using mirrored accounts. Its reputation for daily uploads, combined with claims of original data sourcing, makes it a prominent and organized entity within the broader Telegram log cloud ecosystem.

4. alien

alien Telegram channel

The alien, also known as ALIEN TXTBASE channel, attracted widespread attention after a massive release of infostealer-derived data. The dataset, later ingested into Have I Been Pwned by security researcher Troy Hunt, reportedly included 23 billion credential entries drawn from over 744 separate files, affecting 284 million unique email addresses. While the dump was shared as a single massive archive, its content stemmed from multiple historical sources, not a singular breach.

Most records were formatted in classic URL:login:password combolist style, with data harvested by stealer malware families like RedLine and Raccoon. Despite the impressive volume, subsequent analysis revealed the dataset to be a mix of older breached credentials, recycled data, and even fabricated entries. Some email domains were invalid, and repeated leaks across multiple Telegram groups suggested significant overlap with past incidents.

The channel behind ALIEN TXTBASE likely used the release as a publicity mechanism. By offering an oversized dump freely, they drew attention to their reputation while monetizing other datasets through private sales. This tactic, while not new, emphasizes how Telegram log clouds can amplify both real and inflated threats through strategic disclosure.

Though inflated, the dataset does contain valid credentials. These are valuable for attackers targeting reused passwords or running automated credential stuffing campaigns. As a result, even outdated or partial data from such dumps continues to pose security risks to individuals and organizations alike.

Traits: Public mass leak, mixed authenticity, reputation-building strategy, residual risk through valid credential reuse.

5. LOG SYNC

LOG SYNC Telegram channel

LOG SYNC is a Telegram channel that combines free and premium log sharing. It aggregates credentials from both its own uploads and community contributions, often advertising paid-tier logs as freely accessible to attract followers.

With regular updates and an informal tone, the channel encourages direct messages for support or private access. This mix of public sharing and private interaction suggests a hybrid model focused on reach and reputation.

Traits: Mixed-source log aggregation, free access to premium content, private engagement with users.

Tracking Telegram-Based Log Channels

Monitoring Telegram log channels requires a different approach than traditional dark web tracking. These platforms are easy to access but often unstable. Channels can be deleted, renamed, or moved to private groups without notice.

• Bot Token Analysis: Security researchers extract Telegram bot tokens embedded in malware samples to monitor log exfiltration in near real time. This method provides early visibility into infections and attacker-controlled infrastructure.
• Passive Channel Monitoring: Analysts join public or semi-public channels to collect shared logs, track repost activity, and observe shifts in naming or admin behavior. Some teams use automated tools to scrape and archive messages for long-term analysis.
• OSINT and Attribution: By combining Telegram activity with open-source intelligence, investigators can link threat actors to specific campaigns, cryptocurrency wallets, or reused aliases across platforms.
• Covert Infiltration: In some cases, researchers pose as buyers to gain access to closed log markets, gather internal details, or trace infrastructure through direct engagement with operators.
• Telegram Channel Cloning and Migration Detection: When Telegram enforces bans, threat actors often recreate channels under new names. Identifying and tracking these clones helps maintain continuity in monitoring.
• Cross-Platform Threat Actor Tracking: Many actors operate across Telegram, dark web forums, and surface web platforms like BreachForums. Observing behavior across these environments reveals connections and supports deeper attribution.

Despite the volatility of Telegram channels, these methods enable analysts to follow the flow of stolen data, respond to emerging threats, and support defensive actions with timely intelligence.

SOCRadar Threat Hunting: From Detection to Anticipation

Beyond passive observation, SOCRadar’s Threat Hunting module enables security teams to actively investigate threats across Telegram and the broader underground ecosystem. By correlating stealer log data, leaked credentials, and dark web activity, it supports early detection of attacker behavior.

SOCRadar Threat Hunting Modüle

Key features include:

• Cross-Platform Visibility: Follows threat actors across Telegram, BreachForums, and other underground spaces.
• IOC Correlation: Links new indicators to known malware or campaigns.
• Contextual Filtering: Highlights relevant threats using behavioral and metadata-based analysis.
• Actionable Alerts: Delivers timely notifications to support faster response and containment.

This proactive approach allows organizations to anticipate threats, limit exposure, and respond before attacks escalate.