Search: “reliability”

4 stories

Searchkeyword smart Sortlatest hot importance relevance

DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Industry 1027 Vulnerability 1002 Ransomware 615 Policy & legal 484 Malware 478 Exploit / PoC 358 Data breach 286 Phishing & fraud 282 AI tools & infra 201 Threat actor 200 AI research 129 AI safety & security 128 AI industry 106 Research 96

SeverityAll critical 2164 high 911 medium 778 low 1109 info 576

A rant about phishing: It's not the user's fault (and not DNS either)

Opinion piece argues multi-domain login redirects make legitimate flows indistinguishable from phishing, urging organizations to standardize on one recognizable root domain.

The author shows a real-world login flow that chains through numerous third-party domains (identity providers, cloud auth endpoints, OAuth APIs, 2FA pages), none on the company's own domain, so credentials and 2FA prompts are trivially impersonable. The piece argues URLs are inherently confusing because the security-relevant second-level domain sits mid-string, and that users trained to ignore URLs cannot distinguish legitimate pages from scams. It proposes RFC 2119-style requirements: single recognizable root domain, internal services on its subdomains, emailed or SMS links on that domain, and local redirects instead of third-party hosted pages.

Lobsters · securitySep 10, 15:14 UTC · 6d agoPhishing & fraud

The 20 Most Common Passwords Hackers Target in 2026

Huntress details the 20 most common passwords of 2026 and how attackers use brute force, spraying, and credential stuffing against weak credentials.

Huntress published an awareness piece based on NordPass's seventh annual list of the 200 most commonly used passwords, compiled from exposed data in cyberattacks across 44 countries. The top passwords remain simple sequences and variants such as "123456", "admin", "password", and "P@ssw0rd", all crackable in under a second. The article explains four password attack types: brute force, password spraying, credential stuffing, and dictionary attacks. Huntress cites its own data showing more than 1 in 4 IT professionals consider employees' password habits their biggest weakness, and recommends avoiding common passwords, not reusing credentials, and combining letters, numbers, and symbols.

HuntressSep 10, 13:00 UTC · 7d agoPhishing & fraud

The Money Mule Solution: What Every Scam Has in Common

CYBERA's money mule intelligence, now in Recorded Future's Payment Fraud Intelligence, targets the shared exit point of $450B-$1T annual scam losses.

Scams, especially authorized push payment fraud, do not require a breach; Global Anti-Scam Alliance estimated ~$450B in 2025 losses while CYBERA co-founder Claudio Staub puts the real figure near $1 trillion when underreporting is counted. Every scam needs a mule account to receive funds, so CYBERA uses agentic personas to engage active scammers and extract verified mule account details before payments occur, now available as an add-on to Recorded Future's Payment Fraud Intelligence. CYBERA collected over 16,000 confirmed mule accounts across 72 countries in H2 2025, finding 28% remained active 30 days or more after identification, including one account in 25 engagements. In Europe 51% of mule accounts sat at neobanks and fintechs, while outside Europe 69% were at major banks; regulatory pressure like the UK's APP reimbursement mandate is raising the stakes for institutions.

Recorded FutureAug 30, 00:00 UTC · 18d agoPhishing & fraud

AI is making fraud harder to spot and identity harder to prove

Experian's 2026 report finds AI-generated scams, deepfakes and synthetic identities spreading across digital channels, pushing businesses toward adaptive identity verification and 'Know Your Agent' checks.

Experian's 2026 US Identity & Fraud Report, based on consumer and business surveys, found 60% of consumers aware of AI-generated image/video scams, 53% of AI phishing, and 47% of deepfake voice impersonation. 80% of US businesses already use machine learning or generative AI in fraud management, while AI chatbot account openings rose from 16% in 2025 to 27%. The report highlights adaptive authentication, behavioral biometrics, and emerging 'Know Your Agent' controls as AI agents begin acting on behalf of customers.

Help Net SecurityAug 20, 00:00 UTC · 28d agoPhishing & fraud