A 15-second coding test with a hidden character trick filters out 50% of unqualified remote job applicants, as good candidates would solve the code mentally, while others using interpreters or AI would get an incorrect answer.
This dev frequently finds Supabase projects with exposed credentials, which, due to a lack of proper Row Level Security (RLS), grant full access to sensitive user data within the database. This vulnerability is surprisingly common. It allows simple `curl` requests to retrieve all user information from unprotected tables. While users are responsible for RLS, Supabase's design could be improved with clearer warnings or default secure configurations to prevent the anon key from becoming a master key.
Reclaiming well-being from the attention-grabbing algorithms of big tech calls for a return to an open internet and a focus on fundamental life pillars like health, family, and self-contentment.
This dev programs on the subway during their commute to reclaim time for side projects, finding benefits from the focused, distraction-free environment.
Dropbear SSH server versions through 2024.84 contain CVE-2025-14282 (CVSS 9.8 Critical), which allows privilege escalation to root via Unix socket forwarding. Programs that authenticate forwarded connections, by misusing SO_PEERCRED, receive root credentials instead of the actual user's credentials. Dropbear 2025.89 fixes this by implementing comprehensive changes to Unix socket handling and disabling socket forwarding when forced command options are used, preventing command restriction bypass. Organizations running Dropbear on embedded systems, such as OpenWRT routers and single-board computers, should immediately update or deploy the temporary mitigation using the dropbear -j flag (which also disables TCP forwarding) or compile with #define DROPBEAR_SVR_LOCALSTREAMFWD 0 in localoptions.h and distrooptions.h header files.
Romanian water authorities suffered a ransomware attack that encrypted systems using BitLocker and disabled about 1,000 computers across 10 of 11 regional offices. Core IT services, such as email, web platforms, databases, and GIS, were impacted, though the water supply continued.
The lotusbail npm package masqueraded as a legitimate WhatsApp Web API fork with functional code while secretly intercepting authentication tokens, messages, contacts, and media files through a malicious WebSocket wrapper. The malware employed sophisticated evasion techniques, including custom RSA encryption, four-layer obfuscation, 27 anti-debugging traps, and a hardcoded pairing code that established persistent backdoor access surviving package removal. Security professionals should implement behavioral runtime analysis to detect anomalous activities, such as custom encryption in communication libraries, and manually unlink all devices from WhatsApp settings if compromised.
Modern vulnerability research can blend static analysis with large language models to cut through overwhelming false positives and highlight only issues that look genuinely exploitable. By feeding CodeQL findings and carefully chosen code context into an LLM, and then guiding it with structured questions about data and control flow, the system mimics how senior researchers reason about real bugs rather than surface patterns. Pre-extracting functions and related entities into fast-searchable CSVs makes this scalable across huge C and C++ codebases, enabling discovery of impactful issues and even new CVEs with modest time and compute.
Red Canary detected a novel attack where adversaries deployed spam bombing followed by fake tech support calls leveraging Quick Assist to introduce a QEMU virtual machine (Windows 7 SP1) running Sliver C2 implants, QDoor backdoor, and ScreenConnect for redundant persistence. The VM was configured for internal network reconnaissance via SRV record queries and external C2 communications to marnyonline[.]com and 45[.]61[.]169[.]127. Forensic analysis of the 8GB disk image revealed the adversary's toolkit through prefetch data, browser history, persistence mechanisms in start.txt, and volume shadow copies containing deleted artifacts. Defenders should monitor for anomalous QEMU execution on standard endpoints, implement strict Quick Assist controls, detect internal SRV record enumeration and ping sweeps with single-packet patterns, hunt for Sliver team server SSL certificates with CN=multiplayer and O=operators fingerprints, and deploy behavioral analytics to identify VM deployment following remote assistance sessions.
MacPersistenceChecker is a native macOS security tool that enumerates all persistence mechanisms across 20+ categories, including launch agents, system extensions, and BTM database entries, scoring each item 0-100 based on code signatures, LOLBins detection, and behavioral anomalies mapped to MITRE ATT&CK framework. The tool includes real-time monitoring with optional Claude AI integration that analyzes changes using full context, including risk scores and intent mismatches, plus MCP server support enabling Claude Code integration for natural language queries against persistence data. Security teams can leverage containment features to quarantine suspicious items with automatic backup and timed release.
TokenFlare is a serverless AITM phishing simulation framework targeting Entra ID/M365. Its core logic is just 530 lines of JavaScript. TokenFlare supports multiple OAuth flows, including Intune Conditional Access bypass techniques, and is deployable to Cloudflare Workers or a local HTTPS proxy, with built-in bot/scraper blocking and production-ready infrastructure, in under 60 seconds. The framework captures credentials, auth codes, and session cookies via configurable webhooks, uses modular campaign configuration for custom branding and URL structures, and includes Certbot integration for automated SSL certificate provisioning. Blue teams can detect TokenFlare via static IoCs: the HTTP header "X-TokenFlare: Authorised-Security-Testing" and the User-Agent "TokenFlare/1.0 For_Authorised_Testing_Only". They should monitor for serverless worker abuse, suspicious OAuth flows with rapid authentication handoffs, and webhook exfiltration patterns targeting M365 authentication tokens.
Docker has released over 1,000 secure images that are free and open source for developers. These images are regularly scanned and updated to minimize or eliminate exploitable CVEs. They run as non-root by default, are minimal to lower the attack surface, meet compliance standards, and are available across multiple distributions.
The DOJ indicted 54 individuals linked to Venezuelan gang Tren de Aragua for deploying Ploutus malware in a multi-million dollar ATM jackpotting operation involving 1,529 incidents since 2021, resulting in $40.73 million stolen to fund terrorist activities. Attackers conducted physical reconnaissance, opened ATM hoods to test alarm responses, then installed Ploutus by replacing hard drives or connecting USB drives to issue unauthorized commands to Cash Dispensing Modules while deleting forensic evidence. The malware targets Windows-based ATMs (particularly legacy XP systems and Diebold models) and can be activated via a physical keyboard with activation codes. Financial institutions should implement physical tamper detection on ATM enclosures, upgrade legacy Windows XP systems, monitor Cash Dispensing Module command patterns for anomalies, implement hard drive integrity checks and USB port access controls, and deploy enhanced physical security measures, including alarm response verification protocols.
Hacktivists linked to Anna's Archive scraped around 86 million Spotify tracks, claiming to safeguard musical heritage from catastrophes and platform risk, yet only about a third of Spotify's total catalog is actually preserved as audio. Spotify calls the operation piracy. It shut down the scraping accounts and plans to strengthen safeguards. Anna's Archive has hinted at possible future single‑track downloads.
South Korea plans to require facial recognition when people sign up for new mobile numbers, matching ID photos with real-time images to block phones registered under false identities. The rule, which applies to major carriers and virtual operators, starts on March 23. Authorities hope to curb widespread voice phishing scams and address security weaknesses exposed by a massive SK Telecom data breach that affected 27 million SIM subscribers.
Pornhub warned Premium members to expect sextortion emails after a November 8 data breach at third-party analytics provider Mixpanel exposed user information.
Over 10 million marketers - and 35% of Fortune 500s - use Semrush to track visibility everywhere: Google, ChatGPT, Perplexity, and anywhere else your customers might be searching.
TikTok now appears stable in the US after a binding deal that ends the threat of a ban. The agreement lets it keep operating for 170M US users and sets up a structure where ByteDance holds a 19.9% stake while US and global investors control the rest. This creates more certainty for brands and creators, but many creators have already faced lost income and anxiety about algorithm changes during the past year.
Google has been removing reviews at unprecedented rates due to automated moderation, incentivized review enforcement, and local regulations. The deletions have affected both negative and positive reviews, with patterns varying by industry, geography, and review age. Restaurants and retail have seen retroactive removals, while medical and home services experienced early deletions, often targeting five-star reviews. English-speaking markets rely on AI-driven enforcement, while Germany emphasizes legal takedowns. These trends risk eroding trust and distorting data, making review monitoring essential for local SEO.
Demand generation on Meta works best when campaign objectives, creative types, and frequency are chosen to match brand goals and audience awareness. Reach objectives hit lower awareness audiences, while Ad Recall and Thruplay reach users who already know the brand, and Traffic goals can lift purchase intent to 8% compared to a 4.2% average. High-fidelity brand and product creatives drive the biggest awareness lifts at about 8% and 7.5%, while low-fidelity native content is strongest for intent at about 6%. Memory improves most when people see about two ads every seven days, which helps recall and supports long-term brand growth.
Start by identifying 3-7 relevant competitors and reviewing their platforms, profiles, posting frequency, branding, and tone. Study 10-20 recent posts, track content mixes such as 50% Stories and 25% Reels, and assess engagement, such as cases where 45K followers get only 30-40 likes. This process reveals strengths, weaknesses, and gaps. A free Google Sheet analysis template is available.
Most channels drown your brand in clutter, but TLDR puts you in front of your target audience with almost no competition. Each issue features only three advertisers, giving your message the space it needs to stand out. Millions of developers, marketers, CEOs, and other tech decision makers actually see what you have to say. Learn more [10] about running a test campaign.
This free webinar on January 7 at 12 PM ET shows how to create custom AI voices that fit a brand. Learn workflows and tools to produce content faster, minimize AI errors, and streamline tasks, plus tips to spot when text was AI-generated.
Shopify's Agentic Storefronts lets shoppers discover and purchase products directly inside AI chats. It feeds structured product, pricing, and inventory data into ChatGPT, Perplexity, Microsoft Copilot, and similar platforms. It allows even small merchants to sell in those conversations.
In a world full of gloom, comedy in advertising stands out. From Peter Kay's sketches to campaigns like Tango, Supernoodle, and Old Spice, they become part of culture, remembered long after they aired. Humour connects emotionally and makes messages stick. Advertising should reclaim its funnybone, using humour to entertain and shape culture.
Grammarly has rebranded as Superhuman following the acquisition of Superhuman Mail and the launch of Superhuman Go. This rebrand signals an evolution from a writing tool into an AI-native productivity suite. The new brand architecture supports future growth and positions AI as an accessible productivity partner. Central to the new identity is “Hero”, a logo-character that operates both as a visual asset and functional guide within the product. Developed for flexibility, the visual system emphasizes human-AI partnership, with motion, color, and tone.
Google Ads performance often fails quietly due to over-segmentation. Campaigns are frequently split by product, audience, or device, leading to thin budgets and low conversion volume. This limits smart bidding's ability to optimize effectively. A consistent trend across over 130 accounts shows that fragmented structures create fragmented results. Consolidation based on actual spend and intent improves learning and performance.
Clustering AI query fan-outs tells you what supporting information the model expects to surface and what gaps exist in your current content and positioning.
Look for infrastructure support, willingness to iterate, proven audience-building, and fit between the storyteller's strengths and the right platforms.
Security product management needs a different playbook. When products are built for buyers instead of defenders, they work in demos but fail during real incidents.
Care and feeding work is hard to defend because it doesn't show up as immediate revenue. Treating R&D as a portfolio, not a feature list, is the only reliable way to protect long-term product health.
Google's success comes from a product model that empowers teams to solve hard problems through continuous discovery, strong technical leadership, and outcome-driven execution. This approach has allowed the company to scale, dominate mature markets, and adapt effectively to major shifts like mobile and AI.
Financial superapps fail when they optimize for short-term speculation instead of long-term trust. Products that increase churn may look profitable early, but weaken the business over time.
Goals can mean either the states an agent aims for or the metrics used to judge success. Separating these ideas clarifies key AI alignment issues, especially how agents learn goals and why misalignment happens.
This exercise helps teams uncover misalignment about what an initiative really involves. Making assumptions visible early prevents confusion and costly execution mistakes later.