Breach Intelligence Report 03 Mar 2026

monster_private_09-12_ 10 uploaded by a Telegram User

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HEROIC Threat Intelligence Team
Email Addresses Plaintext Password Urls
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Records Exposed 6,320
Source Type Stealer log
Origin Telegram
Password Type plaintext

We noticed a new data dump surfacing on a public Telegram channel on August 18, 2024, identified as "monster_private_09-12_10". This particular upload, attributed to an anonymous Telegram user, immediately drew our attention due to its format and the nature of the exposed information. What struck us was the direct revelation of endpoint credentials and associated API host details, suggesting a compromise that bypassed typical application-level defenses and moved directly to the system or network access layer. The relatively small, yet highly sensitive, dataset points to a targeted exfiltration rather than a broad-based data breach.

The "monster_private_09-12_10" leak comprises 6,320 records, primarily consisting of email addresses and, critically, plaintext passwords. Accompanying this sensitive credential data are associated URLs, likely representing the compromised endpoints or services. The source structure of this data indicates it originated from a stealer log file, a common artifact of malware designed to harvest credentials and sensitive information directly from infected systems. This implies a compromise event that likely involved endpoint malware infection, allowing for the direct extraction of user credentials and potentially API keys or session tokens. The leak's significance lies in the direct exposure of authentication mechanisms, which could be leveraged for further lateral movement within affected networks or for unauthorized access to connected services.

While this specific incident has not yet garnered widespread media attention, the methodology aligns with ongoing trends in cybercrime. Threat actors are increasingly utilizing stealer malware to acquire high-value credentials, which are then often aggregated and sold on dark web marketplaces or shared via public channels like Telegram. Research from cybersecurity firms frequently highlights the persistent threat of infostealers, which can lead to account takeovers, credential stuffing attacks, and supply chain compromises if the compromised accounts are privileged. The direct upload to a public Telegram channel, as opposed to a more clandestine forum, suggests a potential intent to quickly monetize the compromised data or to distribute it widely for broader impact.

Our attention was drawn to a recent aggregation of credentials on a public Telegram channel, dated August 18, 2024, and cryptically labeled "monster_private_09-12_10". This particular dataset immediately stood out for its direct presentation of system-level access information, rather than application-specific data. We observed that the uploaded file contained not just user credentials but also the hostnames of the compromised endpoints and associated API endpoints, indicating a potentially deeper level of system infiltration than typically seen in web application breaches. The raw, unformatted nature of the stealer log suggests a rapid exfiltration and distribution process by the threat actor.

The "monster_private_09-12_10" leak contains 6,320 records, each detailing a compromised endpoint. The data types exposed include email addresses, plaintext passwords, and the URLs of the compromised API hosts. The origin of this data is confirmed to be a stealer log file, a common output from malware designed to pilfer credentials from infected machines. This implies a compromise vector that likely involved endpoint malware, allowing the threat actor to bypass network defenses and directly extract sensitive authentication information. The significance of this breach lies in the direct access credentials provided, which could facilitate unauthorized system access, lateral movement, and the compromise of associated API services, potentially impacting business operations and data integrity.

There is no immediate external reporting of this specific leak in mainstream cybersecurity news outlets. However, the methodology of using stealer logs to distribute compromised credentials is a well-documented and persistent threat. OSINT analysis of Telegram channels frequently reveals similar dumps of harvested credentials, often serving as a low-barrier entry point for further attacks. Security research consistently points to the efficacy of infostealers in compromising user accounts and, by extension, corporate networks when employees reuse credentials or fall victim to targeted phishing campaigns that deliver such malware.

We detected a new data leak on August 18, 2024, appearing on a public Telegram channel under the identifier "monster_private_09-12_10". What immediately captured our focus was the nature of the exposed data, which directly linked email addresses to plaintext passwords and specific API host URLs. This suggests a compromise that has bypassed typical web application security layers and has instead targeted endpoint or network access credentials. The directness and specificity of the information presented in this stealer log file indicate a focused effort by the threat actor to acquire actionable access credentials.

The "monster_private_09-12_10" incident involves the exfiltration of 6,320 records. The leaked data types are predominantly email addresses, plaintext passwords, and associated URLs of API hosts. The source structure confirms this data originates from a stealer log file, a direct output from malware designed to harvest credentials from compromised systems. This implies a successful endpoint compromise, allowing the threat actor to extract authentication details and potentially session tokens or API keys. The critical implication here is the direct exposure of credentials that could grant unauthorized access to internal systems and services, posing a significant risk of account takeover and further network intrusion.

While this specific leak has not yet been highlighted in major cybersecurity news, the use of stealer logs for credential distribution is a pervasive threat. Open-source intelligence (OSINT) consistently shows such logs appearing on public forums and messaging platforms, often serving as a readily available resource for cybercriminals. Research from various security vendors frequently details the ongoing proliferation of infostealer malware, emphasizing its role in enabling credential stuffing attacks and facilitating initial access for more sophisticated intrusions.

Breach Breakdown

Domain N/A
Leaked Data Email Addresses,Plaintext Password,URLs
Password Types plaintext
Date Leaked 03 Mar 2026
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Breach Rank #16,584 by affected users
Impact Score
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Est. Financial Impact $45.7K fraud, phishing & misuse risk
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Identity Theft Risk Score

Risk Score: 8.7/10 - Critical

Data Exposure Analysis

Passwords Critical
Financial High
Personal Medium
Social High
Security Critical

Breach Timeline Analysis

March 2024 Multiple credentials exposed in recent data breach
January 2024 Password found in dark web marketplace
December 2023 Personal information leaked in major security incident

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Critical: Change compromised passwords immediately and enable 2FA on all accounts

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