Malicious code in cloude (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 1b744a4fe3734f90aaf8d25e66146a0673fa2e1a806c8d6a573d9a7013ca04b6 The package cloude was found to contain malicious code. Source: ghsa-malware b64dc9c2967ed5f2f54160b6bd780fb24ad29af8c22355f706b026ea25c3b3e1 Any...

Hydra-worm

Hydra-worm Hydra-Worm is a rogue self-replicating exploit that...

Windows Registry Active Setup Persistence

This Metasploit module will register a payload to run via the Active Setup mechanism in Windows. Active Setup is a Windows feature that runs once per user at login. It triggers in a user context, losing privileges from admin to user...

PromptSpy Android Malware Abuses Gemini AI to Automate Recent-Apps Persistence

Cybersecurity researchers have discovered what they say is the first Android malware that abuses Gemini, Google's generative artificial intelligence AI chatbot, as part of its execution flow and achieves persistence. The malware has been codenamed PromptSpy by ESET. The malware is equipped to...

Cross-site Request Forgery (CSRF)

fastapi-sso is vulnerable to Cross-Site Request Forgery CSRF. The vulnerability is due to missing persistence and verification of the OAuth state parameter, which allows an attacker to supply a malicious callback URL and link their account to a victim’s session...

CVE-2026-22769

Dell RecoverPoint for Virtual Machines, versions prior to 6.0.3.1 HF1, contain a hardcoded credential vulnerability. This is considered critical as an unauthenticated remote attacker with knowledge of the hardcoded credential could potentially exploit this vulnerability leading to unauthorized...

Windows Registry Persistence Via Userinit

This Metasploit module will install a payload that is executed during user logon. It writes a payload executable to disk and modifies the Userinit registry value in "HKLM\Software\Microsoft\Windows NT\CurrentVersion\Winlogon" to append the payload path, causing it to execute when any user logs in...

CVE-2026-22769

Dell RecoverPoint for Virtual Machines, versions prior to 6.0.3.1 HF1, contain a hardcoded credential vulnerability. This is considered critical as an unauthenticated remote attacker with knowledge of the hardcoded credential could potentially exploit this vulnerability leading to unauthorized...

CVE-2026-22769

CVE-2026-22769 affects Dell RecoverPoint for Virtual Machines (RP4VMs) versions prior to 6.0.3.1 HF1, where a hard-coded credential vulnerability can allow an unauthenticated attacker to gain full control of the underlying OS with root-level persistence. A PoC circulating in PacketStorm demonstra...

GHSA-HR7J-63V7-VJ7G Pterodactyl Panel's SFTP sessions remain active after user account deletion or password change

Summary Deleting a user account with SFTP access or changing the user's password does not immediately terminate existing SFTP sessions, allowing continued filesystem access after credentials are revoked. This can result in unintended and unauthorized access to server files even after administrato...

Technical Deep Dive: The Monero Mining Campaign

Technical Deep Dive: The Monero Mining Campaign By Aswath A · February 17, 2026 Executive summary In the contemporary threat landscape, while ransomware grabs headlines with high-impact disruptions, cryptojacking operations have quietly evolved into sophisticated, persistent threats. This report...

VulnCheck KEV: CVE-2026-22769

Dell RecoverPoint for Virtual Machines RP4VMs contains an use of hard-coded credentials vulnerability that could allow an unauthenticated remote attacker to gain unauthorized access to the underlying operating system and root-level persistence...

PT-2026-22353

Summary The issue is not deterministic session keys by itself. The exploitable path was accepting externally supplied sessionKey values on authenticated hook ingress, allowing a hook token holder to route messages into chosen sessions. Affected Behavior - POST /hooks/agent accepted payload...

CVE-2026-22769: Use of Hard-coded Credentials

Dell RecoverPoint for Virtual Machines, versions prior to 6.0.3.1 HF1, contain a hardcoded credential vulnerability. This is considered critical as an unauthenticated remote attacker with knowledge of the hardcoded credential could potentially exploit this vulnerability leading to unauthorized...

Malicious code in dzuseragents (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 f0be670ad8e17f42129943a744559ebb8818c581bc637c1469cf8553b7b8f8c9 The package downloads an executable and adds it to autostart. The downloaded application then periodically creates a screenshot and sends it to a Discord...

MAL-2026-899 Malicious code in dzuseragents (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 f0be670ad8e17f42129943a744559ebb8818c581bc637c1469cf8553b7b8f8c9 The package downloads an executable and adds it to autostart. The downloaded application then periodically creates a screenshot and sends it to a Discord...

Malicious code in responsible-ai (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 05c11d73745aba3675053c5e949e3d5cf48ec050f6c5df589f613c094a8a038e The package responsible-ai was found to contain malicious code. Source: ghsa-malware 9b9159173d856834d97152b44c3f78779ff8f3dd4368b5d113920865417044c3...

Malicious code in pyright-root (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 1eaf8655e85afe77da4f3a06955a2b7e0885d5368c78190ea0a24ddea43e8f9c The package pyright-root was found to contain malicious code. Source: ghsa-malware 3727564f455a7e3bfbec445ea294c58fd47eec9abfa1dfd95f701b5462d7e176 A...

Malicious code in hxz-protection (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 13dc9932ef1f00aa6dc52dbc5bbb2a7b4096ff94d4dc575903837159d377ba18 The package hxz-protection was found to contain malicious code. Source: ghsa-malware bbf0a8985b32c32401ddf04b75ef930250aab926a54a6ae5dfce381386eb0876...

Backdoor Attacks on Contrastive Continual Learning for IoT Systems

The Internet of Things IoT systems increasingly depend on continual learning to adapt to non-stationary environments. These environments can include factors such as sensor drift, changing user behavior, device aging, and adversarial dynamics. Contrastive continual learning CCL combines contrastiv...