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Congrats @RajGulani, @Chandrodayap, and the entire team on @Frost_Sullivan's 2022 Global Secure Web Gateway Enabling Technology Leadership Award! Ease of use, top-tier #threatintelligence#, and consecutive #1# rankings in #security# efficacy by AV-TEST:
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Threat intelligence. Digital risk. Email security. Identity. Fraud. The human layer. These have traditionally been treated as separate security disciplines. But as social engineering attacks become more connected, the lines between them are starting to blur. Join a guest speaker from IDC, Revolut, and Doppel on September 29 for a discussion on what this convergence means for security teams and why it points toward the emergence of Social Engineering Defense as a distinct security category. We'll also cover how AI is reshaping the social engineering attack chain and what defenders can do to move from detection toward disruption. Save your spot.
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🚨 Threat Intelligence | Analysis of the DarkSword Trojan Backend and iOS Attack Chain Following the public release of #DarkSword-related# exploit code in March 2026, DarkSword-PROV2 appeared on GitHub in July, with the attack infrastructure observed operating online in late September. We traced the live attack infrastructure, linked its admin panels to public GitHub repositories, and analyzed the exploit code, payload library, delivery chain, and post-exploitation capabilities. 🔍 Key Findings: 🔹 A complete attack pipeline: The infrastructure integrates exploit delivery, device and data collection, data exfiltration, and crypto wallet fund consolidation. 🔹 Extensive data theft capabilities: The toolkit targets Keychain data, files, messages, and crypto wallet data, with additional capabilities for wallet data decryption and fund consolidation. 🔹 Broader claimed coverage, narrower functional coverage: Although the toolkit claims support for iOS 13 and later, code analysis identifies two functional exploit windows: iOS 18.6–18.7.2 and iOS 26.0–26.1. Many other version entries remain incomplete or unverified. 🔹 Public code weaponized: Publicly available exploit components have been integrated into a deployable attack framework, lowering the barrier to launching sophisticated #iOS# attacks. 🛡️ Recommendations Keep iOS updated and avoid untrusted links. Simply opening a malicious page in #Safari# may trigger exploitation. If a device has visited a suspicious landing page, treat its seed phrases and private keys as potentially compromised. Use a device that has never accessed the page to create a new wallet and transfer your assets. Also check for abnormal transactions and token approvals across chains, and revoke unnecessary approvals. 🔗 Read the full analysis:
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Google Threat Intelligence Group finds dark web marketplaces selling access to AI models, including from Anthropic, Google, and OpenAI, at up to 97% discounts (@thomas_m_wilson / Financial Times) (Visit Techmeme dot com for the link and full context!)
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🚨 Threat Intelligence | PolinRider Poisons Nova, Using On-Chain Transactions as a C2 Manager SlowMist Security Team identified a PolinRider sample in a development branch of the #LaravelNova# extension package visanduma/nova-two-factor, which has 700,000+ cumulative downloads. The malicious code is hidden in tailwind.config.js and executes during frontend builds. Instead of hardcoding C2 addresses, the loader queries #Ethereum# transactions to dynamically resolve delivery server IPs, allowing the operator to switch servers without republishing the package. The final payload is a cross-platform credential stealer targeting: 🔹 Browser accounts, cookies, and credentials 🔹 Crypto wallet data and extension storage 🔹 Password managers 🔹 Git, GitHub CLI, and other developer credentials ⚠️ Developers and CI/build environments using affected versions should inspect composer.lock and tailwind.config.js, review build-time network activity, and treat successfully executed builds as compromised. Rotate exposed credentials and wallet keys from a clean environment. Full analysis👇
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⚡ Threat intelligence loses its value when it doesn't reach analysts at the point of decision. We're hosting a webinar with @elastic Security on making TI a seamless part of SOC operations, not a separate research step. ❗ Stay for live Q&A. Register:
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🚨 Threat Intelligence | iOS Safari DarkSword Wallet Asset Theft SlowMist Security Team identified a campaign masquerading as a free VPS service. The landing page at event[.]polarnode[.]vip is a decoy that silently loads lk[.]js and screens for iPhone Safari on iOS 18.4–18.6.2. Matching devices receive a hidden iframe (/dist/sandbox.html) that launches a multi-stage n-day chain reusing the DarkSword six-CVE chain: WebKit RCE, GPU / mediaplaybackd sandbox escapes, and kernel read/write. Post-exploitation injects three plugins: 🔹 SpringBoard (sync.js) — recursively collects files from app containers, shared AppGroups, or absolute paths 🔹 securityd (auth.js) — collects genp / inet data from Keychain 🔹 kbd (input.js) — captures keyboard input when imToken, TokenPocket, or TronLink is in the foreground MistEye reconstructed the delivery path and extracted C2, loader, and implant IOCs. When GTIG first observed DarkSword, three of the six CVEs were zero-days in the wild. By September 2026, all six had been publicly disclosed and patched by Apple, making the current delivery an n-day reuse of the DarkSword six-CVE chain. ❗️A page visit alone does not prove seed phrase or private key theft — confirm with device forensics first. A free VPS page that only wants Safari on a narrow iOS range is not a VPS page. Update to iOS / iPadOS 18.7.3 or 26.3+, and block / / port 36887. Read the full analysis 👇
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🚨 Threat Intelligence | The StealC Info-Stealing Chain Behind the Qwen Impersonation Repository SlowMist Security Team identified a #GitHub# repository impersonating local quantized weights for Qwen 3.8 27B. A real Q4_K_M 27B package should exceed 16 GB. The asset delivered was only 487 KB — no GGUF weights, just three files: Application.cmd, a renamed LuaJIT interpreter, and an obfuscated Lua script disguised as cert.txt. The official #Qwen# project was not compromised. The repo kept the look of a normal offline model project, while the malicious ZIP sat in assets/. After deobfuscation, the script collects host data, takes a screenshot, and POSTs them to C2. When the hardcoded server fails, it reads a fallback C2 from a Polygon contract via eth_call, so operators can rotate infrastructure with a single on-chain transaction. Preserved C2 responses then delivered an inner payload we attribute to #StealC#, targeting: 🔹 Browser logins, cookies, and history — including a Chrome App-Bound Encryption bypass 🔹 Email, WinSCP, and Steam credentials 🔹 Wallet-related files and extension data, dispatched by server-side tasks MistEye reconstructed the multi-stage chain and compared 29 similar ZIPs across 23 repositories using the same Lua delivery stack. Between two collection dates, repositories, filenames, the outer PE, and the AES key had already rotated. A 27B model that downloads in 487 KB is not a model. Inspect asset size and unpack downloaded packages before running them. Read the full analysis 👇
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