Cyber News & Articles

It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use.
This week’s findings show a pattern: precision, patience, and persuasion. The

It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use.
This week’s findings show a pattern: precision, patience, and persuasion. The

It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use.
This week’s findings show a pattern: precision, patience, and persuasion. The

It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use.
This week’s findings show a pattern: precision, patience, and persuasion. The

It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use.
This week’s findings show a pattern: precision, patience, and persuasion. The

It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use.
This week’s findings show a pattern: precision, patience, and persuasion. The

It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use.
This week’s findings show a pattern: precision, patience, and persuasion. The

It’s getting harder to tell where normal tech ends and malicious intent begins. Attackers are no longer just breaking in — they’re blending in, hijacking everyday tools, trusted apps, and even AI assistants. What used to feel like clear-cut “hacker stories” now looks more like a mirror of the systems we all use.
This week’s findings show a pattern: precision, patience, and persuasion. The

The encrypted vault backups stolen from the 2022 LastPass data breach have enabled bad actors to take advantage of weak master passwords to crack them open and drain cryptocurrency assets as recently as late 2025, according to new findings from TRM Labs.
The blockchain intelligence firm said evidence points to the involvement of Russian cybercriminal actors in the activity, with one of the

The encrypted vault backups stolen from the 2022 LastPass data breach have enabled bad actors to take advantage of weak master passwords to crack them open and drain cryptocurrency assets as recently as late 2025, according to new findings from TRM Labs.
The blockchain intelligence firm said evidence points to the involvement of Russian cybercriminal actors in the activity, with one of the