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This code implements an insecure, unauthenticated RPC mechanism that allows remote clients to cause arbitrary code execution and exfiltrate files/system information. Using pickle over an untrusted network and invoking methods by client-supplied names are severe supply-chain/backdoor risks. Do not deploy or reuse this code in production; it should be treated as a backdoor/untrusted remote-execution component unless wrapped with strong authentication, authorization, sandboxing, and safe serialization.

The code presents a strong supply-chain and remote-execution risk by automatically downloading and executing remote Python payloads without integrity checks or sandboxing. It also creates and runs external services (Jupyter, Visdom, RStudio) based on user inputs, which can amplify impact if the remote payload is malicious. Mitigations include removing remote code execution paths, adding cryptographic verification (signatures or hash checks), isolating execution (sandboxes or containerization), validating inputs, and avoiding untrusted downloads or executions.

The codebase acts as an aggressive deployment automation tool with webhook-driven updates and high-privilege system modifications. The presence of hard-coded credentials, elevation of privileges, and dynamic configuration changes create substantial supply chain and operational security risks. It should not be used in public projects or unattended environments without refactoring to remove secrets, remove interactive prompts, enforce least privilege, and ensure formal authentication/authorization for webhook-triggered actions.

This module exposes a high-risk remote code execution backdoor: it connects to an obfuscated server endpoint, sends local configuration/browser core data, and evaluates server-sent scripts which are invoked with full access to the module context. This pattern permits arbitrary remote control and data exfiltration. Do not use this package unless you fully trust the server and can inspect/verify ____0.eval sandboxing and the decoded server URL and message types. Review the surrounding project, remove or replace the remote-eval behavior, or require strict authentication and signed code verification before executing any remote script.

The code is configured to collect sensitive user data and maintain persistence, which could be used maliciously if the full logic were implemented. The absence of actual data extraction or network communication logic in the provided code does not negate the potential for misuse.

This assembly contains an automatic, hidden telemetry/data-collection routine that runs when the assembly is loaded (module initializer) and posts host-identifying information and a list of loaded assemblies to an external server (https://ldqk.org/opensource/collect). The collector also disables TLS certificate validation for its HttpClient. This behavior constitutes unwanted data exfiltration and a supply-chain privacy/backdoor risk. The rest of the library appears to be general-purpose helpers and not overtly malicious, but the automatic phone-home behavior is a critical concern. Recommend not using this package in production or removing/patching the module initializer and the insecure TLS override before use.

The code contains explicit malicious functionality: environment-variable exfiltration to a remote HTTP endpoint and a reverse shell that grants an external listener interactive command execution on the host. This constitutes a high-risk backdoor and data-exfiltration mechanism. If present in a distributed package, it should be treated as a critical supply-chain compromise and removed; affected systems should be assumed compromised and investigated.

Live on pypi for 17 hours and 59 minutes before removal. Socket users were protected even while the package was live.

The module contains high-risk operations: executing arbitrary shell commands via subprocess with shell=True and writing/appending to files without validation. If the steps JSON or the user input is untrusted, an attacker can achieve remote code execution, modify arbitrary files, and change process state (cwd). There are no signs of network exfiltration or hardcoded credentials in this fragment, but the command execution sink is sufficient to escalate to any of those behaviors if exploited. Recommendation: treat inputs (steps, file names, user-provided suggested commands) as untrusted; remove shell=True or use argument lists, validate and canonicalize file paths, avoid executing suggested commands automatically, and employ strict prompting and auditing. Overall this code is not itself evidently obfuscated or explicitly malicious, but it poses a significant supply-chain/runtime risk when given untrusted instructions.

Live on pypi for 5 days, 4 hours and 31 minutes before removal. Socket users were protected even while the package was live.

This code is an offensive API attack orchestrator that automates discovery, exploitation, and credential harvesting against APIs. It poses a high security risk and can be used to perform unauthorized attacks or destructive operations. Treat as high-risk: do not run or include this dependency unless you have explicit authorization and a clear, legal use-case (e.g., controlled penetration test). Investigate provenance and intended use before allowing in any environment.

The code embeds a dangerous dynamic execution pattern by re-reading and executing the caller file contents in a separate Python process and then invoking the function by name. This can re-run initialization code, access sensitive data, and enable covert execution in a background context. It represents a notable supply-chain risk if the caller file is modifiable by an attacker. Recommend removing exec-based loading, using a clearly defined worker model (multiprocessing or threading with explicit callable targets), and implementing strict input validation and error handling to mitigate exposure.

This script is not obviously self-contained malware, but it contains dangerous supply-chain patterns: it fetches and executes remote scripts via shortened bit.ly URLs with no integrity checks, sources and executes local files in the user's home (which may have been replaced by cloud_copy), and exports a sensitive DECRYPTION_PASSWORD into the environment. These behaviors make it high risk for abuse: if any of the remote or cloud content is malicious (or the short URLs are redirected), arbitrary code execution, credential exposure, or persistent compromise could occur. Recommend not running this script on sensitive systems as-is. Replace curl | bash with verified downloads (checksums/signatures), avoid exporting secrets, validate SHARE_URL and sources, and audit the remote targets behind the short URLs before execution.

The code exhibits clear malicious behavior by exfiltrating sensitive system information to an external server. This poses a significant security risk and should be considered malicious.

Live on npm for 55 minutes before removal. Socket users were protected even while the package was live.

This frontend code fragment exhibits critical security weaknesses: embedded OSS credentials for production and other environments, eval usage on storage-derived data, and global window APIs to initialize OSS interactions. Combined with frequent network requests and sensitive data stored in local/session storage, this creates substantial risk for data leakage and potential exploitation in a compromised supply chain. Not acceptable for production without removing hardcoded secrets, eliminating eval-based parsing of storage data, restricting global exposure, and moving secrets to secure backend-backed flows. Recommend revoking embedded keys, enforcing server-signed policy for OSS, auditing and replacing eval usage with safe JSON parsing, and tightening data handling and logging practices.

This file includes hardcoded credentials (a Telegram bot token and chat ID) and transmits newly created SSH usernames and passwords to a remote endpoint (e.g., example[.]com) without user consent.

This assembly contains a sophisticated, intentionally-obfuscated loader/patcher. It decrypts embedded payload(s), performs integrity/signature checks, allocates executable memory, writes and patches code/data into process memory (including use of /proc/self/mem and native VirtualAlloc/VirtualProtect equivalents), and then arranges for execution (DynamicMethod/PrepareMethod, delegate/native function pointers). These behaviors are strongly associated with in-memory code injection, runtime hooking of methods/JIT and potential backdoor or dropper functionality. Treat this component as malicious or extremely high-risk to include in a trusted supply chain.

This module is functionally a minimal serializer that reconstructs objects by evaluating repr()-based strings. It contains an immediate and severe security flaw: loads() decodes external input and feeds it to eval(), and it may import modules based on the serialized text before evaluation. While not explicitly malicious, the code enables arbitrary code execution and import-time side effects when deserializing untrusted data. Treat this as high risk — avoid using it on untrusted inputs and refactor to safer serialization patterns.

The fragment bundles common open-source components (PrismJS, js-yaml-like parsing, Remarkable) but includes a dangerous data-to-code pathway via the !js/function YAML tag that can construct and later execute arbitrary JavaScript. This creates a serious supply-chain-like risk if untrusted YAML content is processed. The main actionable risk is to disable or sandbox the !js/function feature and ensure robust sanitization for Markdown/HTML rendering to prevent XSS. Overall, the code is not overtly malicious by default, but the data-driven execution pathway constitutes a high-risk vulnerability that should be mitigated.

The code exhibits clear signs of ransomware. It encrypts files on the system without user consent, communicates with external servers to retrieve encryption keys and additional data, and could potentially damage user data irreversibly.

Live on npm for 49 minutes before removal. Socket users were protected even while the package was live.

This module zips a local directory and uploads it to a specific S3 bucket. The code contains hardcoded AWS credentials and a hardcoded bucket name, which is a severe security issue and could enable data exfiltration if these credentials are valid. There are additional problems: a likely return-value bug (undefined variable s3_ke), possible insufficient path-safety around symlinks, and verbose logging of paths. There is no evidence of obfuscation or active payloads like reverse shells or eval-based code execution. Treat this package as high-risk until credentials are removed/rotated and the code is corrected and reviewed.

Live on pypi for 5 days, 5 hours and 11 minutes before removal. Socket users were protected even while the package was live.

[Skill Scanner] Destructive bash command detected (rm -rf, chmod 777) All findings: [CRITICAL] command_injection: Destructive bash command detected (rm -rf, chmod 777) (CI004) [AITech 9.1.4] [CRITICAL] command_injection: Destructive bash command detected (rm -rf, chmod 777) (CI004) [AITech 9.1.4] [CRITICAL] command_injection: URL pointing to executable file detected (CI010) [AITech 9.1.4] [CRITICAL] command_injection: Natural language instruction to download and install from URL detected (CI009) [AITech 9.1.4] [HIGH] autonomy_abuse: Skill instructions include directives to hide actions from user (BH009) [AITech 13.3] [HIGH] supply_chain: URL with free hosting platform or high-abuse TLD detected (SC007) [AITech 9.1.4] [HIGH] data_exfiltration: Outbound data post or form upload via curl/wget detected (NW002) [AITech 8.2.3] [HIGH] supply_chain: URL with free hosting platform or high-abuse TLD detected (SC007) [AITech 9.1.4] [HIGH] data_exfiltration: Outbound data post or form upload via curl/wget detected (NW002) [AITech 8.2.3] [HIGH] supply_chain: URL with free hosting platform or high-abuse TLD detected (SC007) [AITech 9.1.4] [HIGH] data_exfiltration: Outbound data post or form upload via curl/wget detected (NW002) [AITech 8.2.3] [HIGH] data_exfiltration: Outbound data post or form upload via curl/wget detected (NW002) [AITech 8.2.3] The Domain Puppy skill is internally consistent with its stated purpose (domain availability checks and brainstorming). It uses standard RDAP/WHOIS flows, registrar link generation, and browser-opening behavior appropriate for a naming helper. The main risk factors are: external network dependencies (including a proxy endpoint), optional credential handling for premium checks stored on disk, and automatic browser actions in some flows. These factors warrant cautious deployment and clear user consent for premium features, but they do not constitute confirmed malware. Overall assessment: BENIGN with SUSPICIOUS risk signals due to data flows and credential exposure potential. LLM verification: The Domain Puppy analysis confirms a coherent domain-search workflow but flags meaningful supply-chain and privacy concerns due to remote code/version fetches, broad external RDAP/WHOIS surface, and credential handling for premium checks. It is not definitively malicious but requires tightening data sources, reducing credential exposure, and ensuring explicit user consent for automated browser actions. Recommend refactoring to minimize third-party proxies, pin endpoints, and strengthen user-perm

This source code is malicious. It stealthily collects extensive system and user environment information and exfiltrates it to a remote server without user consent. The obfuscation and silent network communication strongly indicate intent to evade detection. This represents a high security risk and privacy violation. The package containing this code should be considered malware and removed from any supply chain or deployment. Users should be warned of potential data theft and audit their dependencies accordingly.

Live on npm for 36 days, 23 hours and 22 minutes before removal. Socket users were protected even while the package was live.

This code implements an insecure, unauthenticated RPC mechanism that allows remote clients to cause arbitrary code execution and exfiltrate files/system information. Using pickle over an untrusted network and invoking methods by client-supplied names are severe supply-chain/backdoor risks. Do not deploy or reuse this code in production; it should be treated as a backdoor/untrusted remote-execution component unless wrapped with strong authentication, authorization, sandboxing, and safe serialization.

The code presents a strong supply-chain and remote-execution risk by automatically downloading and executing remote Python payloads without integrity checks or sandboxing. It also creates and runs external services (Jupyter, Visdom, RStudio) based on user inputs, which can amplify impact if the remote payload is malicious. Mitigations include removing remote code execution paths, adding cryptographic verification (signatures or hash checks), isolating execution (sandboxes or containerization), validating inputs, and avoiding untrusted downloads or executions.

The codebase acts as an aggressive deployment automation tool with webhook-driven updates and high-privilege system modifications. The presence of hard-coded credentials, elevation of privileges, and dynamic configuration changes create substantial supply chain and operational security risks. It should not be used in public projects or unattended environments without refactoring to remove secrets, remove interactive prompts, enforce least privilege, and ensure formal authentication/authorization for webhook-triggered actions.

This module exposes a high-risk remote code execution backdoor: it connects to an obfuscated server endpoint, sends local configuration/browser core data, and evaluates server-sent scripts which are invoked with full access to the module context. This pattern permits arbitrary remote control and data exfiltration. Do not use this package unless you fully trust the server and can inspect/verify ____0.eval sandboxing and the decoded server URL and message types. Review the surrounding project, remove or replace the remote-eval behavior, or require strict authentication and signed code verification before executing any remote script.

The code is configured to collect sensitive user data and maintain persistence, which could be used maliciously if the full logic were implemented. The absence of actual data extraction or network communication logic in the provided code does not negate the potential for misuse.

This assembly contains an automatic, hidden telemetry/data-collection routine that runs when the assembly is loaded (module initializer) and posts host-identifying information and a list of loaded assemblies to an external server (https://ldqk.org/opensource/collect). The collector also disables TLS certificate validation for its HttpClient. This behavior constitutes unwanted data exfiltration and a supply-chain privacy/backdoor risk. The rest of the library appears to be general-purpose helpers and not overtly malicious, but the automatic phone-home behavior is a critical concern. Recommend not using this package in production or removing/patching the module initializer and the insecure TLS override before use.

The code contains explicit malicious functionality: environment-variable exfiltration to a remote HTTP endpoint and a reverse shell that grants an external listener interactive command execution on the host. This constitutes a high-risk backdoor and data-exfiltration mechanism. If present in a distributed package, it should be treated as a critical supply-chain compromise and removed; affected systems should be assumed compromised and investigated.

Live on pypi for 17 hours and 59 minutes before removal. Socket users were protected even while the package was live.

The module contains high-risk operations: executing arbitrary shell commands via subprocess with shell=True and writing/appending to files without validation. If the steps JSON or the user input is untrusted, an attacker can achieve remote code execution, modify arbitrary files, and change process state (cwd). There are no signs of network exfiltration or hardcoded credentials in this fragment, but the command execution sink is sufficient to escalate to any of those behaviors if exploited. Recommendation: treat inputs (steps, file names, user-provided suggested commands) as untrusted; remove shell=True or use argument lists, validate and canonicalize file paths, avoid executing suggested commands automatically, and employ strict prompting and auditing. Overall this code is not itself evidently obfuscated or explicitly malicious, but it poses a significant supply-chain/runtime risk when given untrusted instructions.

Live on pypi for 5 days, 4 hours and 31 minutes before removal. Socket users were protected even while the package was live.

This code is an offensive API attack orchestrator that automates discovery, exploitation, and credential harvesting against APIs. It poses a high security risk and can be used to perform unauthorized attacks or destructive operations. Treat as high-risk: do not run or include this dependency unless you have explicit authorization and a clear, legal use-case (e.g., controlled penetration test). Investigate provenance and intended use before allowing in any environment.

The code embeds a dangerous dynamic execution pattern by re-reading and executing the caller file contents in a separate Python process and then invoking the function by name. This can re-run initialization code, access sensitive data, and enable covert execution in a background context. It represents a notable supply-chain risk if the caller file is modifiable by an attacker. Recommend removing exec-based loading, using a clearly defined worker model (multiprocessing or threading with explicit callable targets), and implementing strict input validation and error handling to mitigate exposure.

This script is not obviously self-contained malware, but it contains dangerous supply-chain patterns: it fetches and executes remote scripts via shortened bit.ly URLs with no integrity checks, sources and executes local files in the user's home (which may have been replaced by cloud_copy), and exports a sensitive DECRYPTION_PASSWORD into the environment. These behaviors make it high risk for abuse: if any of the remote or cloud content is malicious (or the short URLs are redirected), arbitrary code execution, credential exposure, or persistent compromise could occur. Recommend not running this script on sensitive systems as-is. Replace curl | bash with verified downloads (checksums/signatures), avoid exporting secrets, validate SHARE_URL and sources, and audit the remote targets behind the short URLs before execution.

The code exhibits clear malicious behavior by exfiltrating sensitive system information to an external server. This poses a significant security risk and should be considered malicious.

Live on npm for 55 minutes before removal. Socket users were protected even while the package was live.

This frontend code fragment exhibits critical security weaknesses: embedded OSS credentials for production and other environments, eval usage on storage-derived data, and global window APIs to initialize OSS interactions. Combined with frequent network requests and sensitive data stored in local/session storage, this creates substantial risk for data leakage and potential exploitation in a compromised supply chain. Not acceptable for production without removing hardcoded secrets, eliminating eval-based parsing of storage data, restricting global exposure, and moving secrets to secure backend-backed flows. Recommend revoking embedded keys, enforcing server-signed policy for OSS, auditing and replacing eval usage with safe JSON parsing, and tightening data handling and logging practices.

This file includes hardcoded credentials (a Telegram bot token and chat ID) and transmits newly created SSH usernames and passwords to a remote endpoint (e.g., example[.]com) without user consent.

This assembly contains a sophisticated, intentionally-obfuscated loader/patcher. It decrypts embedded payload(s), performs integrity/signature checks, allocates executable memory, writes and patches code/data into process memory (including use of /proc/self/mem and native VirtualAlloc/VirtualProtect equivalents), and then arranges for execution (DynamicMethod/PrepareMethod, delegate/native function pointers). These behaviors are strongly associated with in-memory code injection, runtime hooking of methods/JIT and potential backdoor or dropper functionality. Treat this component as malicious or extremely high-risk to include in a trusted supply chain.

This module is functionally a minimal serializer that reconstructs objects by evaluating repr()-based strings. It contains an immediate and severe security flaw: loads() decodes external input and feeds it to eval(), and it may import modules based on the serialized text before evaluation. While not explicitly malicious, the code enables arbitrary code execution and import-time side effects when deserializing untrusted data. Treat this as high risk — avoid using it on untrusted inputs and refactor to safer serialization patterns.

The fragment bundles common open-source components (PrismJS, js-yaml-like parsing, Remarkable) but includes a dangerous data-to-code pathway via the !js/function YAML tag that can construct and later execute arbitrary JavaScript. This creates a serious supply-chain-like risk if untrusted YAML content is processed. The main actionable risk is to disable or sandbox the !js/function feature and ensure robust sanitization for Markdown/HTML rendering to prevent XSS. Overall, the code is not overtly malicious by default, but the data-driven execution pathway constitutes a high-risk vulnerability that should be mitigated.

The code exhibits clear signs of ransomware. It encrypts files on the system without user consent, communicates with external servers to retrieve encryption keys and additional data, and could potentially damage user data irreversibly.

Live on npm for 49 minutes before removal. Socket users were protected even while the package was live.

This module zips a local directory and uploads it to a specific S3 bucket. The code contains hardcoded AWS credentials and a hardcoded bucket name, which is a severe security issue and could enable data exfiltration if these credentials are valid. There are additional problems: a likely return-value bug (undefined variable s3_ke), possible insufficient path-safety around symlinks, and verbose logging of paths. There is no evidence of obfuscation or active payloads like reverse shells or eval-based code execution. Treat this package as high-risk until credentials are removed/rotated and the code is corrected and reviewed.

Live on pypi for 5 days, 5 hours and 11 minutes before removal. Socket users were protected even while the package was live.

[Skill Scanner] Destructive bash command detected (rm -rf, chmod 777) All findings: [CRITICAL] command_injection: Destructive bash command detected (rm -rf, chmod 777) (CI004) [AITech 9.1.4] [CRITICAL] command_injection: Destructive bash command detected (rm -rf, chmod 777) (CI004) [AITech 9.1.4] [CRITICAL] command_injection: URL pointing to executable file detected (CI010) [AITech 9.1.4] [CRITICAL] command_injection: Natural language instruction to download and install from URL detected (CI009) [AITech 9.1.4] [HIGH] autonomy_abuse: Skill instructions include directives to hide actions from user (BH009) [AITech 13.3] [HIGH] supply_chain: URL with free hosting platform or high-abuse TLD detected (SC007) [AITech 9.1.4] [HIGH] data_exfiltration: Outbound data post or form upload via curl/wget detected (NW002) [AITech 8.2.3] [HIGH] supply_chain: URL with free hosting platform or high-abuse TLD detected (SC007) [AITech 9.1.4] [HIGH] data_exfiltration: Outbound data post or form upload via curl/wget detected (NW002) [AITech 8.2.3] [HIGH] supply_chain: URL with free hosting platform or high-abuse TLD detected (SC007) [AITech 9.1.4] [HIGH] data_exfiltration: Outbound data post or form upload via curl/wget detected (NW002) [AITech 8.2.3] [HIGH] data_exfiltration: Outbound data post or form upload via curl/wget detected (NW002) [AITech 8.2.3] The Domain Puppy skill is internally consistent with its stated purpose (domain availability checks and brainstorming). It uses standard RDAP/WHOIS flows, registrar link generation, and browser-opening behavior appropriate for a naming helper. The main risk factors are: external network dependencies (including a proxy endpoint), optional credential handling for premium checks stored on disk, and automatic browser actions in some flows. These factors warrant cautious deployment and clear user consent for premium features, but they do not constitute confirmed malware. Overall assessment: BENIGN with SUSPICIOUS risk signals due to data flows and credential exposure potential. LLM verification: The Domain Puppy analysis confirms a coherent domain-search workflow but flags meaningful supply-chain and privacy concerns due to remote code/version fetches, broad external RDAP/WHOIS surface, and credential handling for premium checks. It is not definitively malicious but requires tightening data sources, reducing credential exposure, and ensuring explicit user consent for automated browser actions. Recommend refactoring to minimize third-party proxies, pin endpoints, and strengthen user-perm

This source code is malicious. It stealthily collects extensive system and user environment information and exfiltrates it to a remote server without user consent. The obfuscation and silent network communication strongly indicate intent to evade detection. This represents a high security risk and privacy violation. The package containing this code should be considered malware and removed from any supply chain or deployment. Users should be warned of potential data theft and audit their dependencies accordingly.

Live on npm for 36 days, 23 hours and 22 minutes before removal. Socket users were protected even while the package was live.