Hacker-for-hire pleads guilty to Yahoo breach
Bibliographic record
Abstract
A Canadian man pleaded guilty Tuesday to charges stemming from a massive breach at Yahoo that authorities say was directed by two Russian intelligence agents and affected at least a half billion user accounts. A 'hacker-for-hire' pleaded guilty to charges stemming from a massive breach at Yahoo.Prosecutors say Canadian Karim Baratov (kuh-reem bair-uh-tov) was directed by two Russian intelligence agents and affected at least a half a billion user accounts.Baratov appeared before a federal judge Tuesday...he was charged with one count of conspiracy to commit computer fraud......and eight counts of aggravated identity theft.The U.S. says as part of his plea deal, he acknowledged hacking more than 11,000 webmail accounts on behalf of the Russian Federal Security Service.Baratovâs lawyers said their client didn't know that he was working for Russian agents connected to the Yahoo breach.He is scheduled for sentencing on February 20th.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".