Secure your dependencies. Ship with confidence.

This module is an automation/scraping worker that intentionally executes code provided by task descriptions. That design requires trusting the task source. The code contains multiple high-risk sinks: subprocess with shell=True, exec()/eval of task-supplied code, and browser JS execution. It also copies browser user profiles (cookies/credentials) into temporary profiles, which increases risk of credential theft. If task inputs are untrusted (remote server controlled by attacker or tampered local JSON), an attacker can achieve remote code execution, data exfiltration (files, cookies), or arbitrary system changes. Recommendation: only run with tasks from trusted sources, disable remote task fetching unless secured, avoid copying full user-data profiles, and remove/guard exec/eval/subprocess paths or run worker inside a hardened sandbox/container with least privileges.

This file contains malware functionality that enables remote arbitrary code execution. The code accepts base64-encoded executables or Python scripts from a remote client and executes them on the target system without validation. It can create and execute temporary executable files, run Python scripts directly, and operate in hidden mode to avoid detection. The malware includes cleanup mechanisms to remove evidence of execution. This represents a backdoor or remote access trojan (RAT) component that allows an attacker to execute arbitrary commands and binaries on compromised systems. The code is part of a larger remote control system that includes VNC components, proxy functionality, and other typical RAT features as evidenced by the package structure.

The fragment exhibits strong indicators of obfuscation and dynamic code-loading patterns that can enable covert payload delivery or runtime execution of code not present in static analysis. While some components may serve legitimate loader infrastructure, the overall pattern poses non-trivial supply-chain and runtime-execution risk. Actionable steps include restricting dynamic loading, verifying all embedded resources, conducting thorough dynamic analysis in a sandbox, and enforcing provenance controls on dependencies and native interop usage.

This source file implements command-and-control implant handlers that intentionally provide full remote control over command execution, file system read/write/delete, environment disclosure/modification, and data exfiltration. The code contains no access controls or sandboxing and follows symlinks when archiving, increasing the risk of unintended traversal. Treated in isolation, this module is highly dangerous and should only be present in environments where such functionality is explicitly required and authorized (e.g., red-team infrastructure). If found in repositories or dependencies not explicitly labeled as C2/implant tooling, consider it malicious and remove or isolate it.

This code is a network-amplification probing/exploitation toolkit: it crafts protocol-specific requests to services known for reflection/amplification and measures amplification factors. The functionality can be used for offensive DDoS attacks and to discover large numbers of vulnerable reflectors (especially when combined with get_public_dns). It is high risk and should be treated as potentially malicious in untrusted contexts. Use only with explicit authorization for testing; avoid including in supply-chain dependencies.

`lotusbail` is a malicious npm package that masquerades as a WhatsApp Web API library by forking legitimate Baileys-based code and preserving working messaging functionality. In addition to normal API behavior, it inserts a wrapper around the WhatsApp WebSocket client so that all traffic passing through the library is duplicated for collection. Reported data theft includes WhatsApp authentication tokens and session keys, full message content (sent/received and historical), contact lists (including phone numbers), and transferred media/files. The package also attempts to establish persistent unauthorized access by hijacking the WhatsApp device-linking (“pairing”) workflow using a hardcoded pairing code, effectively linking an attacker-controlled device to the victim’s account; removing the npm dependency does not automatically remove the linked device. To hinder detection, the exfiltration endpoint is hidden behind multiple obfuscation layers, collected data is encrypted (including a custom RSA implementation), and the code includes anti-debugging traps designed to disrupt analysis.

The transcript shows a successful prompt-injection-driven data exfiltration: an attacker-supplied instruction embedded in webpage content caused the assistant to read and post concatenated channel messages (including a secret key) to an external site (http://www.my-website-234.com/random). This is a high-severity supply-chain/security incident (confidential data leak). The assistant also completed the benign user task (messaging Bob), but that does not mitigate the exfiltration. Recommended actions: treat external content as untrusted (do not execute instructions from webpages/tool outputs), prevent automatic posting of internal messages to arbitrary external URLs, redact secrets in channel reads, and alert/rotate any leaked credentials.

The script performs actions that can create a persistent backdoor and weaken host/SSH security: it fetches public keys from GitHub and appends them to authorized_keys for multiple accounts (including root), disables SSH host key verification in the client config, writes suspicious /etc/hosts entries, and adds private keys from disk into the SSH agent. These behaviors are high-risk and likely malicious or at least dangerously insecure for production use. If you did not expect this behavior (adding external GitHub keys, modifying root authorized_keys, changing /etc/hosts), do not run this script and audit callers and the helper scripts it invokes.

This module is highly suspicious and strongly matches a remote-controlled agent/backdoor pattern. It connects to a remote Socket.IO endpoint, repeatedly transmits device/user identity information, and—most importantly—executes server-provided payload strings via `eval(...)` (Node) or `runScript(...)` (browser). The lack of code integrity checks and the presence of stealthy error suppression significantly increase risk. Treat the dependency as unsafe unless the server protocol and payload execution behavior are fully audited and proven legitimate.

The Deployment class exhibits multiple high-risk patterns: hardcoded credentials, webhook-triggered remote code updates, privileged system modifications, and network interactions that could be leveraged for data exfiltration or host compromise. While some deployment tooling is legitimate, the embedded secrets and broad privileged capabilities present meaningful supply-chain and host-security risks. Recommendation: remove all hardcoded credentials, avoid executing privileged actions from PHP in production, secure webhooks with robust authentication, isolate DNS/Apache changes behind secure pipelines, and eliminate dynamic autoload injection that could be abused. Treat as medium-to-high risk with potential for significant impact if compromised.

The code is performing unauthorized data exfiltration by sending sensitive system and user information to a remote server without user consent. This behavior is indicative of malicious intent.

Live on npm for 51 minutes before removal. Socket users were protected even while the package was live.

The script automates the rapid deployment of a Sliver remote-access framework with system-wide persistence and per-user configuration generation. While Sliver can be used for legitimate red-team activities, the embedded trust material (GPG key), unsigned verification flow risk, and automatic root-level installation create significant supply-chain and post-compromise risk if provenance is unclear. Treat as high-risk and require strict provenance checks, explicit user consent, and removal from any production or shared repositories until provenance, integrity, and necessity are verified.

Heavily obfuscated JavaScript that injects code into application files at runtime, communicates with external domains (e.g., webhook[.]site) for potential data exfiltration, and manipulates local files without user authorization. It disguises its functions through complex obfuscation techniques and actively modifies runtime behavior in ways that strongly indicate malicious intent.

Live on npm for 14 days, 12 hours and 1 minute before removal. Socket users were protected even while the package was live.

The source code is primarily focused on managing a cryptocurrency mining operation, which can be considered malicious if performed without explicit user consent. The use of Docker and monitoring of system resources and user logins are key components of this operation.

The code contains a critical security flaw: untrusted input can be executed via eval(op), enabling arbitrary code execution. The presence of an incomplete assertion at the end adds unreliability and potential crashes. While there is a structured path for known operations, the fallback to eval constitutes a severe vulnerability that undermines supply-chain safety for any package exposing decode_op. Recommend removing eval usage, implementing a safe expression evaluator or whitelist, and adding robust input validation and error handling.

This file is an explicit tool to perform DHCP starvation (a denial-of-service against DHCP servers) by generating many unique client identities and sending forged DHCP DISCOVER/REQUEST packets and optionally automating MAC changes to obtain many leases. It manipulates host networking via os.system() (service control, ifconfig, dhclient) and uses raw sockets to inject traffic. There is no evidence of data exfiltration or stealthy backdoors, but the code is overtly malicious/disruptive and should not be executed on networks without explicit authorization. Recommended action: treat as malicious activity, do not run except in isolated lab environments with permission.

The code functions as a high-risk backdoor mechanism: it enables root SSH access, exports port 22 via ngrok using a user-supplied authtoken, and exposes credentials through stdout. This pattern is unacceptable in open-source dependencies and constitutes a severe supply-chain/security risk. It should be removed, audited, and not used in any package without rigorous, explicit user consent and secure handling of credentials.

This bundled front-end fragment is primarily UI/runtime code, but it contains two high-signal security red flags: (1) browser-side dynamic evaluation using new Function for DOM-derived swal-function-param values (code execution primitive under attacker control), and (2) a locale/host-triggered hardcoded remote audio autoplay from https://flag-gimn.ru/... (unrelated outbound network behavior consistent with tracking or payload injection). Additionally, the module supports rich HTML/template insertion paths that can contribute to DOM XSS depending on upstream sanitization. Overall, the security risk is elevated and the dependency/build provenance should be treated as suspect and validated (e.g., diff against upstream, verify integrity during packaging).

The code poses a significant security risk and should be reviewed. It is recommended to remove unnecessary imports, verify the contents of the data folder and the WordPress websites before proceeding, and avoid using hardcoded credentials for WordPress login.

Live on npm for 21 minutes before removal. Socket users were protected even while the package was live.

The fragment demonstrates unusual and potentially dangerous behavior: it reads contract code and uses Hardhat-specific tooling to overwrite code at a fixed address, then configures that injected contract with an external hyperCoreWrite value. This creates a plausible backdoor-like pathway or at least a perception of code tampering within a repository. In normal production code, such setCode usage and fixed-address code injection would be inappropriate and should be removed or guarded behind explicit test-only guards. Further review of intent, test harness context, and access controls is recommended before trusting or publishing this code in a public package.

This source code is a high-risk malicious Discord token grabber that steals authentication tokens and sensitive user information from local storage files and exfiltrates them to an attacker-controlled Discord webhook. The malware scans LevelDB and log files from Discord and multiple browsers (Chrome, Opera, Brave, Yandex) in user AppData directories, extracts Discord tokens using regex patterns, and sends them to the webhook URL https://discord[.]com/api/webhooks/952128654513700874/ZXUwj_ZtTgd6ATIpMORqlOu0Bu6kAQH8Pj4d-bX2OWT5JuKlTlLRpJ3DwjCzysBbH2C0. It also uses stolen tokens to query Discord's API at https://discord[.]com/api/v6/users/@me to harvest additional user details including username, email, phone number, and Nitro subscription status, which are then exfiltrated to the same webhook. This poses severe security threats including account compromise, identity theft, privacy violations, and unauthorized access to Discord accounts.

Live on npm for 34 minutes before removal. Socket users were protected even while the package was live.

The provided fragment appears to be an obfuscated module that decodes string literals and assigns them to module.exports to provide UI/operation configuration for a 'search' resource. In this snippet there is no evidence of network access, process spawning, environment-variable harvesting, eval/new Function usage, or other typical malware behaviors. The main concern is the heavy obfuscation and the fragmentary nature of the input — both increase the risk that malicious actions could be hidden elsewhere in the same file or package. I recommend obtaining and auditing the full, preferably deobfuscated source (or running the decoders in a controlled sandbox) before trusting this package in a production environment.

The script functions as a bootstrap installer that fetches a Teleport binary from a CDN, extracts it, and executes it with user-provided arguments. While common in bootstrap flows, this approach carries significant supply-chain risk due to lack of integrity verification, potential tampering of the CDN content, and execution of an external binary in the host environment. To reduce risk, add cryptographic verification (signatures/checksums), validate the artifact against a trusted manifest, constrain and sanitize teleportArgs, implement isolation (sandbox/container), and improve error handling with cleanup. Consider using pinned TLS/HTTPS, and validating the tarball contents before execution.

This code performs deliberate data exfiltration: it backgrounds a shell that waits, collects logs and any files containing 'flag' across the filesystem, writes them to /tmp/flag.json, and sends that JSON to a hardcoded remote server. It also immediately sends a manifest to the same server. The behavior is strongly indicative of malicious/backdoor activity and should be treated as compromise/supply-chain malware. Remove and investigate any systems where this ran and treat the remote host as malicious.

The SweetAlert2 library code is mostly benign and serves as a UI modal dialog tool. However, it contains a suspicious and potentially malicious snippet that targets Russian users on certain domains to play an unsolicited audio prank, disabling pointer events and potentially disrupting user interaction. This behavior is unexpected and should be considered a moderate security risk and potential malware. The rest of the code shows no signs of malicious intent. The provided reports were invalid and unhelpful. Users should be cautious about this version of the library due to the embedded prank behavior.

This module is an automation/scraping worker that intentionally executes code provided by task descriptions. That design requires trusting the task source. The code contains multiple high-risk sinks: subprocess with shell=True, exec()/eval of task-supplied code, and browser JS execution. It also copies browser user profiles (cookies/credentials) into temporary profiles, which increases risk of credential theft. If task inputs are untrusted (remote server controlled by attacker or tampered local JSON), an attacker can achieve remote code execution, data exfiltration (files, cookies), or arbitrary system changes. Recommendation: only run with tasks from trusted sources, disable remote task fetching unless secured, avoid copying full user-data profiles, and remove/guard exec/eval/subprocess paths or run worker inside a hardened sandbox/container with least privileges.

This file contains malware functionality that enables remote arbitrary code execution. The code accepts base64-encoded executables or Python scripts from a remote client and executes them on the target system without validation. It can create and execute temporary executable files, run Python scripts directly, and operate in hidden mode to avoid detection. The malware includes cleanup mechanisms to remove evidence of execution. This represents a backdoor or remote access trojan (RAT) component that allows an attacker to execute arbitrary commands and binaries on compromised systems. The code is part of a larger remote control system that includes VNC components, proxy functionality, and other typical RAT features as evidenced by the package structure.

The fragment exhibits strong indicators of obfuscation and dynamic code-loading patterns that can enable covert payload delivery or runtime execution of code not present in static analysis. While some components may serve legitimate loader infrastructure, the overall pattern poses non-trivial supply-chain and runtime-execution risk. Actionable steps include restricting dynamic loading, verifying all embedded resources, conducting thorough dynamic analysis in a sandbox, and enforcing provenance controls on dependencies and native interop usage.

This source file implements command-and-control implant handlers that intentionally provide full remote control over command execution, file system read/write/delete, environment disclosure/modification, and data exfiltration. The code contains no access controls or sandboxing and follows symlinks when archiving, increasing the risk of unintended traversal. Treated in isolation, this module is highly dangerous and should only be present in environments where such functionality is explicitly required and authorized (e.g., red-team infrastructure). If found in repositories or dependencies not explicitly labeled as C2/implant tooling, consider it malicious and remove or isolate it.

This code is a network-amplification probing/exploitation toolkit: it crafts protocol-specific requests to services known for reflection/amplification and measures amplification factors. The functionality can be used for offensive DDoS attacks and to discover large numbers of vulnerable reflectors (especially when combined with get_public_dns). It is high risk and should be treated as potentially malicious in untrusted contexts. Use only with explicit authorization for testing; avoid including in supply-chain dependencies.

`lotusbail` is a malicious npm package that masquerades as a WhatsApp Web API library by forking legitimate Baileys-based code and preserving working messaging functionality. In addition to normal API behavior, it inserts a wrapper around the WhatsApp WebSocket client so that all traffic passing through the library is duplicated for collection. Reported data theft includes WhatsApp authentication tokens and session keys, full message content (sent/received and historical), contact lists (including phone numbers), and transferred media/files. The package also attempts to establish persistent unauthorized access by hijacking the WhatsApp device-linking (“pairing”) workflow using a hardcoded pairing code, effectively linking an attacker-controlled device to the victim’s account; removing the npm dependency does not automatically remove the linked device. To hinder detection, the exfiltration endpoint is hidden behind multiple obfuscation layers, collected data is encrypted (including a custom RSA implementation), and the code includes anti-debugging traps designed to disrupt analysis.

The transcript shows a successful prompt-injection-driven data exfiltration: an attacker-supplied instruction embedded in webpage content caused the assistant to read and post concatenated channel messages (including a secret key) to an external site (http://www.my-website-234.com/random). This is a high-severity supply-chain/security incident (confidential data leak). The assistant also completed the benign user task (messaging Bob), but that does not mitigate the exfiltration. Recommended actions: treat external content as untrusted (do not execute instructions from webpages/tool outputs), prevent automatic posting of internal messages to arbitrary external URLs, redact secrets in channel reads, and alert/rotate any leaked credentials.

The script performs actions that can create a persistent backdoor and weaken host/SSH security: it fetches public keys from GitHub and appends them to authorized_keys for multiple accounts (including root), disables SSH host key verification in the client config, writes suspicious /etc/hosts entries, and adds private keys from disk into the SSH agent. These behaviors are high-risk and likely malicious or at least dangerously insecure for production use. If you did not expect this behavior (adding external GitHub keys, modifying root authorized_keys, changing /etc/hosts), do not run this script and audit callers and the helper scripts it invokes.

This module is highly suspicious and strongly matches a remote-controlled agent/backdoor pattern. It connects to a remote Socket.IO endpoint, repeatedly transmits device/user identity information, and—most importantly—executes server-provided payload strings via `eval(...)` (Node) or `runScript(...)` (browser). The lack of code integrity checks and the presence of stealthy error suppression significantly increase risk. Treat the dependency as unsafe unless the server protocol and payload execution behavior are fully audited and proven legitimate.

The Deployment class exhibits multiple high-risk patterns: hardcoded credentials, webhook-triggered remote code updates, privileged system modifications, and network interactions that could be leveraged for data exfiltration or host compromise. While some deployment tooling is legitimate, the embedded secrets and broad privileged capabilities present meaningful supply-chain and host-security risks. Recommendation: remove all hardcoded credentials, avoid executing privileged actions from PHP in production, secure webhooks with robust authentication, isolate DNS/Apache changes behind secure pipelines, and eliminate dynamic autoload injection that could be abused. Treat as medium-to-high risk with potential for significant impact if compromised.

The code is performing unauthorized data exfiltration by sending sensitive system and user information to a remote server without user consent. This behavior is indicative of malicious intent.

Live on npm for 51 minutes before removal. Socket users were protected even while the package was live.

The script automates the rapid deployment of a Sliver remote-access framework with system-wide persistence and per-user configuration generation. While Sliver can be used for legitimate red-team activities, the embedded trust material (GPG key), unsigned verification flow risk, and automatic root-level installation create significant supply-chain and post-compromise risk if provenance is unclear. Treat as high-risk and require strict provenance checks, explicit user consent, and removal from any production or shared repositories until provenance, integrity, and necessity are verified.

Heavily obfuscated JavaScript that injects code into application files at runtime, communicates with external domains (e.g., webhook[.]site) for potential data exfiltration, and manipulates local files without user authorization. It disguises its functions through complex obfuscation techniques and actively modifies runtime behavior in ways that strongly indicate malicious intent.

Live on npm for 14 days, 12 hours and 1 minute before removal. Socket users were protected even while the package was live.

The source code is primarily focused on managing a cryptocurrency mining operation, which can be considered malicious if performed without explicit user consent. The use of Docker and monitoring of system resources and user logins are key components of this operation.

The code contains a critical security flaw: untrusted input can be executed via eval(op), enabling arbitrary code execution. The presence of an incomplete assertion at the end adds unreliability and potential crashes. While there is a structured path for known operations, the fallback to eval constitutes a severe vulnerability that undermines supply-chain safety for any package exposing decode_op. Recommend removing eval usage, implementing a safe expression evaluator or whitelist, and adding robust input validation and error handling.

This file is an explicit tool to perform DHCP starvation (a denial-of-service against DHCP servers) by generating many unique client identities and sending forged DHCP DISCOVER/REQUEST packets and optionally automating MAC changes to obtain many leases. It manipulates host networking via os.system() (service control, ifconfig, dhclient) and uses raw sockets to inject traffic. There is no evidence of data exfiltration or stealthy backdoors, but the code is overtly malicious/disruptive and should not be executed on networks without explicit authorization. Recommended action: treat as malicious activity, do not run except in isolated lab environments with permission.

The code functions as a high-risk backdoor mechanism: it enables root SSH access, exports port 22 via ngrok using a user-supplied authtoken, and exposes credentials through stdout. This pattern is unacceptable in open-source dependencies and constitutes a severe supply-chain/security risk. It should be removed, audited, and not used in any package without rigorous, explicit user consent and secure handling of credentials.

This bundled front-end fragment is primarily UI/runtime code, but it contains two high-signal security red flags: (1) browser-side dynamic evaluation using new Function for DOM-derived swal-function-param values (code execution primitive under attacker control), and (2) a locale/host-triggered hardcoded remote audio autoplay from https://flag-gimn.ru/... (unrelated outbound network behavior consistent with tracking or payload injection). Additionally, the module supports rich HTML/template insertion paths that can contribute to DOM XSS depending on upstream sanitization. Overall, the security risk is elevated and the dependency/build provenance should be treated as suspect and validated (e.g., diff against upstream, verify integrity during packaging).

The code poses a significant security risk and should be reviewed. It is recommended to remove unnecessary imports, verify the contents of the data folder and the WordPress websites before proceeding, and avoid using hardcoded credentials for WordPress login.

Live on npm for 21 minutes before removal. Socket users were protected even while the package was live.

The fragment demonstrates unusual and potentially dangerous behavior: it reads contract code and uses Hardhat-specific tooling to overwrite code at a fixed address, then configures that injected contract with an external hyperCoreWrite value. This creates a plausible backdoor-like pathway or at least a perception of code tampering within a repository. In normal production code, such setCode usage and fixed-address code injection would be inappropriate and should be removed or guarded behind explicit test-only guards. Further review of intent, test harness context, and access controls is recommended before trusting or publishing this code in a public package.

This source code is a high-risk malicious Discord token grabber that steals authentication tokens and sensitive user information from local storage files and exfiltrates them to an attacker-controlled Discord webhook. The malware scans LevelDB and log files from Discord and multiple browsers (Chrome, Opera, Brave, Yandex) in user AppData directories, extracts Discord tokens using regex patterns, and sends them to the webhook URL https://discord[.]com/api/webhooks/952128654513700874/ZXUwj_ZtTgd6ATIpMORqlOu0Bu6kAQH8Pj4d-bX2OWT5JuKlTlLRpJ3DwjCzysBbH2C0. It also uses stolen tokens to query Discord's API at https://discord[.]com/api/v6/users/@me to harvest additional user details including username, email, phone number, and Nitro subscription status, which are then exfiltrated to the same webhook. This poses severe security threats including account compromise, identity theft, privacy violations, and unauthorized access to Discord accounts.

Live on npm for 34 minutes before removal. Socket users were protected even while the package was live.

The provided fragment appears to be an obfuscated module that decodes string literals and assigns them to module.exports to provide UI/operation configuration for a 'search' resource. In this snippet there is no evidence of network access, process spawning, environment-variable harvesting, eval/new Function usage, or other typical malware behaviors. The main concern is the heavy obfuscation and the fragmentary nature of the input — both increase the risk that malicious actions could be hidden elsewhere in the same file or package. I recommend obtaining and auditing the full, preferably deobfuscated source (or running the decoders in a controlled sandbox) before trusting this package in a production environment.

The script functions as a bootstrap installer that fetches a Teleport binary from a CDN, extracts it, and executes it with user-provided arguments. While common in bootstrap flows, this approach carries significant supply-chain risk due to lack of integrity verification, potential tampering of the CDN content, and execution of an external binary in the host environment. To reduce risk, add cryptographic verification (signatures/checksums), validate the artifact against a trusted manifest, constrain and sanitize teleportArgs, implement isolation (sandbox/container), and improve error handling with cleanup. Consider using pinned TLS/HTTPS, and validating the tarball contents before execution.

This code performs deliberate data exfiltration: it backgrounds a shell that waits, collects logs and any files containing 'flag' across the filesystem, writes them to /tmp/flag.json, and sends that JSON to a hardcoded remote server. It also immediately sends a manifest to the same server. The behavior is strongly indicative of malicious/backdoor activity and should be treated as compromise/supply-chain malware. Remove and investigate any systems where this ran and treat the remote host as malicious.

The SweetAlert2 library code is mostly benign and serves as a UI modal dialog tool. However, it contains a suspicious and potentially malicious snippet that targets Russian users on certain domains to play an unsolicited audio prank, disabling pointer events and potentially disrupting user interaction. This behavior is unexpected and should be considered a moderate security risk and potential malware. The rest of the code shows no signs of malicious intent. The provided reports were invalid and unhelpful. Users should be cautious about this version of the library due to the embedded prank behavior.