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Cybersecurity researchers have discovered a set of malicious apps on the Apple App Store that impersonate popular cryptocurrency wallets in an attempt to steal recovery phrases and private keys since at least fall 2025. "Once launched, these apps redirect users to browser pages designed to look similar to the App Store and distribute trojanized versions of legitimate wallets," Kaspersky researcher Sergey Puzan said . "The infected apps are specifically engineered to hijack recovery phrases and private keys." The 26 apps, collectively dubbed FakeWallet , mimic various popular wallets like Bitpie, Coinbase, imToken, Ledger, MetaMask, TokenPocket, and Trust Wallet. Many of these apps have since been taken down by Apple following disclosure. There is no evidence that these apps were distributed via the Google Play Store. While malicious cryptocurrency wallets distributed in the past via bogus websites have abused iOS provisioning profiles to get users to install th...

Chinese-speaking individuals are the target of a new campaign that uses a trojanized version of SumatraPDF reader to deploy the AdaptixC2 Beacon post-exploitation agent and ultimately facilitate the abuse of Microsoft Visual Studio Code (VS Code) tunnels for remote access. Zscaler ThreatLabz, which discovered the campaign last month, has attributed it with high confidence to Tropic Trooper (aka APT23, Earth Centaur, KeyBoy, and Pirate Panda), a hacking group known for its targeting of various entities in Taiwan, Hong Kong, and the Philippines. It's assessed to be active since at least 2011. "The threat actors created a custom AdaptixC2 Beacon listener, leveraging GitHub as their command-and-control (C2) platform," security researcher Yin Hong Chang said in an analysis. It's believed that Chinese-speaking individuals in Taiwan, and individuals in South Korea and Japan, are the targets of the campaign. The starting point of the attack is a ZIP archive containing...

A high-severity security flaw in LMDeploy , an open-source toolkit for compressing, deploying, and serving large language models (LLMs), has come under active exploitation in the wild less than 13 hours after its public disclosure. The vulnerability, tracked as CVE-2026-33626 (CVSS score: 7.5), relates to a Server-Side Request Forgery (SSRF) vulnerability that could be exploited to access sensitive data. "A server-side request forgery (SSRF) vulnerability exists in LMDeploy's vision-language module," according to an advisory published by the project maintainers last week. "The load_image() function in lmdeploy/vl/utils.py fetches arbitrary URLs without validating internal/private IP addresses, allowing attackers to access cloud metadata services, internal networks, and sensitive resources." The shortcoming affects all versions of the toolkit (0.12.0 and prior) with vision language support. Orca Security researcher Igor Stepansky has been credited with disc...

A previously undocumented threat activity cluster known as UNC6692 has been observed leveraging social engineering tactics via Microsoft Teams to deploy a custom malware suite on compromised hosts. "As with many other intrusions in recent years, UNC6692 relied heavily on impersonating IT help desk employees, convincing their victim to accept a Microsoft Teams chat invitation from an account outside their organization," Google-owned Mandiant said in a report published today. UNC6692 has been attributed to a large email campaign that's designed to overwhelm a target's inbox with a flood of spam emails, creating a false sense of urgency. The threat actor then approaches the target over Microsoft Teams by sending a message claiming to be from the IT support team to offer assistance with the email bombing problem. It's worth noting that this combination of bombarding a victim's email inbox followed by Microsoft Teams-based help desk impersonation has been a ...

Bitwarden CLI , the command-line interface for the password manager Bitwarden, has reportedly been compromised as part of a newly discovered and ongoing Checkmarx supply chain campaign , according to findings from JFrog and Socket. "The affected package version appears to be @bitwarden/cli@2026.4.0 , and the malicious code was published in 'bw1.js,' a file included in the package contents," the application security company said . "The attack appears to have leveraged a compromised GitHub Action in Bitwarden's CI/CD pipeline, consistent with the pattern seen across other affected repositories in this campaign." In a post on X, JFrog said the rogue version of the package "steals GitHub/npm tokens, .ssh, .env, shell history, GitHub Actions and cloud secrets, then exfiltrates the data to private domains and as GitHub commits." Specifically, the malicious code is executed by means of a preinstall hook, resulting in the theft of local, CI, Git...

You scroll past one incident and see another that feels familiar, like it should have been fixed years ago, but it still works with small changes. Same bugs. Same mistakes. The supply chain is messy. Packages you did not check are stealing data, adding backdoors, and spreading. Attacking the systems behind apps is easier than breaking the apps themselves. The exploits are simple but still work, giving attackers easy access. AI tools are also part of the problem now. They trust bad input and take real actions, which makes the damage bigger. Then there are quieter issues. Apps take data they should not. Devices behave in strange ways. Attackers keep testing what they can get away with. No noise. Just ongoing damage. Here is the list for this week’s ThreatsDay Bulletin. State-backed crypto heist North Korea Likely Behind KelpDAP $290M Crypto Heist Inter-blockchain communication protocol LayerZero has revealed that North Korean thr...

Imagine a world where hackers don't sleep, don't take breaks, and find weak spots in your systems instantly. Well, that world is already here. Thanks to AI, attackers are now launching automated, large-scale exploits faster than ever before. The time you have to fix a vulnerability before it gets attacked is shrinking to zero. We call this the Collapsing Exploit Window , and it means your standard patching routine is officially too slow. If you are fighting AI-speed attacks with manual-speed defenses, your systems are at a breaking point. It’s time to rethink everything. Join our highly anticipated webinar featuring expert guest Ofer Gayer, Vice President of Product at Miggo Security, and learn how to beat the bots at their own game: Mythos and the Collapsing Exploit Window: Rethink Vulnerability Prioritization at AI Speed . Here is exactly what you will walk away with: The Truth About Mythos: We are cutting through the hype. Learn what Mythos actually represents and w...

Last week, Anthropic announced Project Glasswing, an AI model so effective at discovering software vulnerabilities that they took the extraordinary step of postponing its public release. Instead, the company has given access to Apple, Microsoft, Google, Amazon, and a coalition of others to find and patch bugs before adversaries can . Mythos Preview, the model that led to Project Glasswing, found vulnerabilities across every major operating system and browser. Some of these bugs had survived decades of human audits, aggressive fuzzing, and open-source scrutiny. One had been sitting for 27 years  in  OpenBSD,  generally considered to be one of the world’s most secure operating systems. It's tempting to file this under " AI lab says their AI is too dangerous, " the same playbook OpenAI ran with GPT-2.  Not so fast; there's a material difference this time.  Mythos didn't just find individual CVEs.  It chained four independent bugs into an exploit sequen...