News

“Mother Of All Breaches” Exposes 26 Billion Data Records

The files encompass a massive 12 terabytes of personal information from various sources, including Adobe, Canva, and X.

Published

3 years ago

January 24, 2024

mother of all breaches exposes 26 billion data records

An extensive database consisting of a staggering 26 billion meticulously curated and reindexed data records has recently appeared on an unprotected online platform. This dataset, referred to by experts as the “Mother of all Breaches” (MOAB), encompasses an astonishing 12 terabytes of personal information sourced from various websites, including several big industry names:

X (281 million)
Tencent QQ (1.5 billion)
Adobe (153 million)

The repository of sensitive data encompasses usernames and passwords from tools like Canva to government records from the United States, Brazil, Turkey, Germany, and more.

The discovery of the data trove is down to the diligent efforts of Bob Dyachenko, a cybersecurity researcher and the proprietor of SecurityDiscovery.com, along with the collaborative work of the Cybernews team, who have been investigating its origins.

mother of all breaches leak list

The research community believes that the owner has a vested interest in storing large amounts of data and could be a malicious actor, data broker, or other large-scale service with the capability to mine massive volumes of data.

The sheer magnitude of the records alone is cause for profound concern. The MOAB is probably the largest “compilation of multiple breaches” (COMB). Enough to arm malicious entities with abundant ammunition to carry out “identity theft, sophisticated phishing schemes, and targeted cyberattacks,” according to Dyachenko.

A faint silver lining of the breach is the confirmation that a significant portion of the records are outdated. Primarily, the MOAB is an amalgamation of prior breaches and leaks, albeit with numerous duplications.

Also Read: The Largest Data Breaches In The Middle East

With that being said, experts also warn that many people use the same passwords across services like Netflix and Gmail, allowing attackers to use the information from MOAB to breach more sensitive accounts.

The full extent and implications of the “Mother Of All Breaches” remain undetermined. The immediate priority lies in uncovering the source and motivation behind this colossal data repository. In the interim, it’s vital to ensure you haven’t used the same password across multiple services or, at the very least, to periodically change those in use.

News

ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

Also Read: Dubai Says Its Deepfake Detector Needs Just 7 Seconds Of Video

“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.