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This code is malicious: it is a credential/token stealer that locates Discord client LevelDB storage, extracts authentication tokens using regex, and exfiltrates them to a hard-coded Discord webhook. Do not run or import this code. If executed on a system, treat Discord sessions as compromised: revoke tokens, change account passwords, inspect for additional malware or persistence, and consider rebuilding the host if other indicators are present.

The code exhibits high-risk, dynamic code execution paths that can be triggered by untrusted input. The reliance on script injection and eval-based transformation of event handlers makes it unsuitable for a secure JSON parsing utility. Replace with a standards-compliant, strictly JSON.parse-based flow, remove dynamic evaluation, and prohibit transforming strings into executable code. In a supply-chain context, this code poses significant security risk and should be deprecated or heavily sandboxed.

This module contains high‑risk functionality: capturing webcam images and screenshots and extracting plaintext Windows Wi‑Fi passwords. These are classic spyware behaviors. While the fragment doesn't explicitly exfiltrate the harvested images or passwords, it exposes them to callers and also contacts an external IP‑lookup service, enabling correlation of collected data. The use of shell=True with interpolated profile names and broad exception suppression increases the risk profile. Treat this code as malicious or extremely dangerous in a supply‑chain context; it should be removed or sandboxed and audited thoroughly before use.

The code collects and transmits sensitive system information to external endpoints without user consent, posing a significant privacy and security risk. The use of hardcoded IP addresses and fallback mechanisms for data transmission further exacerbates the risk.

Live on npm for 10 days, 22 hours and 38 minutes before removal. Socket users were protected even while the package was live.

This code exhibits extreme obfuscation techniques that go far beyond normal minification practices. The deliberate attempts to hide functionality, combined with unusual encoding patterns and binary-like data structures, strongly suggest malicious intent. The code should be considered highly suspicious and potentially dangerous. Without deobfuscation and dynamic analysis in a controlled environment, it's impossible to determine the exact functionality, but the obfuscation techniques alone warrant treating this code as potentially malicious.

This module implements privileged node and device management and exposes HTTP endpoints that accept user input used directly in shell commands and Docker operations. Main risks: command injection (unsanitized string interpolation into shell commands and os.popen), destructive device operations (partitioning, bind/unbind), supplying arbitrary images to be pulled and run as privileged containers, and use of an unencrypted/unprotected Docker TCP socket (tcp://...:2375). I assess this as not manifestly malware but a high-risk administrative component that must be strictly access-controlled and hardened (validate/sanitize inputs, avoid passing raw user values into shell/Docker operations, use secure Docker API access, avoid exposing endpoints publicly).

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 module contains a critical vulnerability: unconstrained eval() of attacker-controlled 'input.expr' with access to local variables (including a formatted request object). This yields remote code execution and potential data exfiltration. The code likely represents an insecure design/bug rather than intentionally malicious code, but it must be remediated before handling untrusted inputs. Also fix the apparent syntax error in getAttr.

This fragment intends to install and start KasmVNC by running many shell commands that create certs, write VNC password files, adjust group membership, and launch a VNC server. The primary security issues are unsafe shell interpolation (command injection risk), programmatic persistence of a possibly predictable password, execution with sudo based on unvalidated env vars, starting a VNC server exposed on 0.0.0.0 with disabled/basic auth, and multiple unsafe filesystem operations performed via shell. There is no clear evidence of obfuscated or direct exfiltration malware, but the behavior can provide an unauthorized remote access vector (backdoor-like) if used maliciously. Do not run this code without fixing shell usage, validating inputs, using secure randomly generated passwords, enforcing proper file permissions, and not disabling authentication.

This module implements privileged node and device management and exposes HTTP endpoints that accept user input used directly in shell commands and Docker operations. Main risks: command injection (unsanitized string interpolation into shell commands and os.popen), destructive device operations (partitioning, bind/unbind), supplying arbitrary images to be pulled and run as privileged containers, and use of an unencrypted/unprotected Docker TCP socket (tcp://...:2375). I assess this as not manifestly malware but a high-risk administrative component that must be strictly access-controlled and hardened (validate/sanitize inputs, avoid passing raw user values into shell/Docker operations, use secure Docker API access, avoid exposing endpoints publicly).

The analyzed fragment contains explicit high-risk patterns: a remote code execution vector via dynamic loading of assemblies from base64 payloads provided by input, and a potential backdoor/back-doors through the UE endpoint that can run arbitrary code. The presence of a time-based kill switch further elevates risk. While not all code paths are necessarily malicious in isolation, the combination of dynamic execution from untrusted input and the ability to spawn external processes constitutes a major security threat and a strong likelihood of malicious use in supply-chain contexts if deployed in public packages. Recommended actions include removing dynamic code execution paths, sandboxing or validating any loaded assemblies, eliminating hard-coded defaults, and performing a thorough threat-model and supply-chain audit before any reuse.

This module functions as a credential harvesting/exfiltration component: it collects Discord tokens (and optional metadata and host identifiers) and sends them in plaintext to an external Telegram chat using credentials retrieved from a local module. Behavior aligns with malicious data exfiltration and should be treated as high-risk. Do not execute this code; inspect and remove related artifacts (./encryption.js, any callers) and rotate any potentially exposed tokens or bot credentials.

This script performs untrusted deserialization (pickle.load) of a file specified via command-line and immediately executes the deserialized object. Combined with deleting the input file, this is a high-risk pattern for arbitrary code execution, backdoors, or supply-chain abuse. Do not use or run this code with untrusted inputs. The provided fragment also contains a likely typo/truncation ('rais'), so the sample may be incomplete or altered.

The script gathers information such as package name, directories, hostname, username, DNS servers, and package JSON data, and sends it to a remote server.

Live on npm for 2 hours and 22 minutes before removal. Socket users were protected even while the package was live.

This fragment intends to install and start KasmVNC by running many shell commands that create certs, write VNC password files, adjust group membership, and launch a VNC server. The primary security issues are unsafe shell interpolation (command injection risk), programmatic persistence of a possibly predictable password, execution with sudo based on unvalidated env vars, starting a VNC server exposed on 0.0.0.0 with disabled/basic auth, and multiple unsafe filesystem operations performed via shell. There is no clear evidence of obfuscated or direct exfiltration malware, but the behavior can provide an unauthorized remote access vector (backdoor-like) if used maliciously. Do not run this code without fixing shell usage, validating inputs, using secure randomly generated passwords, enforcing proper file permissions, and not disabling authentication.

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 code in the flagged file explicitly reads a local file from a fixed system path (/home/joben/Desktop/testsol/abstract_it.py) and transmits its contents via an HTTP request to a Discord webhook. The target URL is hardcoded as https://discordapp[.]com/api/webhooks/1278595755812327424/3xvzS30Bx8bOhooNJeY9gnYj2KjFb2-ZfV2rHpBdkS71tuibNeu56_mRFE38MrmQRa_j, with the embedded token included in the URL. This behavior is characteristic of malware designed for data exfiltration, as it automatically sends potentially sensitive file content to an external service without user consent.

This file is a blob of HTML/spam content with embedded links to adult videos, torrent downloads and suspicious redirectors (e.g. https://2023[.]redircdn[.]com/?…, http://rmdown[.]com/link[.]php?hash=…, http://data[.]down2048[.]com/list[.]php?…), plus numerous third-party image URLs. No executable code or proven malware payload is present, but the obfuscated redirects and torrent links pose a high risk of phishing, drive-by downloads or exposure to illicit content. Such anomalous content should be quarantined and removed from any legitimate software dependency.

The module performs silent host enumeration (including username, paths, and detailed system command outputs) and transmits that data to a hardcoded external collector. In the context of a third-party dependency this is a high-risk supply-chain backdoor/exfiltration behavior. Block or remove this code unless explicitly required and made opt-in and auditable.

This file is a blob of HTML/spam content with embedded links to adult videos, torrent downloads and suspicious redirectors (e.g. https://2023[.]redircdn[.]com/?…, http://rmdown[.]com/link[.]php?hash=…, http://data[.]down2048[.]com/list[.]php?…), plus numerous third-party image URLs. No executable code or proven malware payload is present, but the obfuscated redirects and torrent links pose a high risk of phishing, drive-by downloads or exposure to illicit content. Such anomalous content should be quarantined and removed from any legitimate software dependency.

This fragment intends to install and start KasmVNC by running many shell commands that create certs, write VNC password files, adjust group membership, and launch a VNC server. The primary security issues are unsafe shell interpolation (command injection risk), programmatic persistence of a possibly predictable password, execution with sudo based on unvalidated env vars, starting a VNC server exposed on 0.0.0.0 with disabled/basic auth, and multiple unsafe filesystem operations performed via shell. There is no clear evidence of obfuscated or direct exfiltration malware, but the behavior can provide an unauthorized remote access vector (backdoor-like) if used maliciously. Do not run this code without fixing shell usage, validating inputs, using secure randomly generated passwords, enforcing proper file permissions, and not disabling authentication.

This module constructs a JSON payload containing a provided token and the JUPYTERHUB_USER environment value and sends it to a hard-coded external HTTPS endpoint using embedded Basic Auth credentials. That behavior constitutes secret exfiltration and is high risk for supply-chain or privacy abuse. Immediate mitigations: do not use this code in untrusted environments; remove hard-coded credentials and endpoint; require explicit configuration and consent; avoid printing sensitive responses; add robust error handling and input validation. The source file also contains a syntax error that prevents execution until fixed.

This code is not obviously malicious in itself; it is intended to call an external solver (msolve) and parse its output. However, it contains a high-risk design choice: it executes an external binary and directly evaluates that binary's stdout via sage_eval, which yields arbitrary code execution if the external binary or its output is tampered with. If the msolve executable can be compromised (supply-chain attack, replaced binary, or attacker-controlled output), this code can execute arbitrary Python. Recommended mitigations: avoid eval-style parsing of external output, use a strict parser or sandbox evaluation, validate output structure and types before evaluation, and ensure the msolve binary is obtained and verified from a trusted source. Overall: low probability the code is intentionally malicious, but a significant security risk exists due to unsafe evaluation of external output.

This code is malicious: it is a credential/token stealer that locates Discord client LevelDB storage, extracts authentication tokens using regex, and exfiltrates them to a hard-coded Discord webhook. Do not run or import this code. If executed on a system, treat Discord sessions as compromised: revoke tokens, change account passwords, inspect for additional malware or persistence, and consider rebuilding the host if other indicators are present.

The code exhibits high-risk, dynamic code execution paths that can be triggered by untrusted input. The reliance on script injection and eval-based transformation of event handlers makes it unsuitable for a secure JSON parsing utility. Replace with a standards-compliant, strictly JSON.parse-based flow, remove dynamic evaluation, and prohibit transforming strings into executable code. In a supply-chain context, this code poses significant security risk and should be deprecated or heavily sandboxed.

This module contains high‑risk functionality: capturing webcam images and screenshots and extracting plaintext Windows Wi‑Fi passwords. These are classic spyware behaviors. While the fragment doesn't explicitly exfiltrate the harvested images or passwords, it exposes them to callers and also contacts an external IP‑lookup service, enabling correlation of collected data. The use of shell=True with interpolated profile names and broad exception suppression increases the risk profile. Treat this code as malicious or extremely dangerous in a supply‑chain context; it should be removed or sandboxed and audited thoroughly before use.

The code collects and transmits sensitive system information to external endpoints without user consent, posing a significant privacy and security risk. The use of hardcoded IP addresses and fallback mechanisms for data transmission further exacerbates the risk.

Live on npm for 10 days, 22 hours and 38 minutes before removal. Socket users were protected even while the package was live.

This code exhibits extreme obfuscation techniques that go far beyond normal minification practices. The deliberate attempts to hide functionality, combined with unusual encoding patterns and binary-like data structures, strongly suggest malicious intent. The code should be considered highly suspicious and potentially dangerous. Without deobfuscation and dynamic analysis in a controlled environment, it's impossible to determine the exact functionality, but the obfuscation techniques alone warrant treating this code as potentially malicious.

This module implements privileged node and device management and exposes HTTP endpoints that accept user input used directly in shell commands and Docker operations. Main risks: command injection (unsanitized string interpolation into shell commands and os.popen), destructive device operations (partitioning, bind/unbind), supplying arbitrary images to be pulled and run as privileged containers, and use of an unencrypted/unprotected Docker TCP socket (tcp://...:2375). I assess this as not manifestly malware but a high-risk administrative component that must be strictly access-controlled and hardened (validate/sanitize inputs, avoid passing raw user values into shell/Docker operations, use secure Docker API access, avoid exposing endpoints publicly).

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 module contains a critical vulnerability: unconstrained eval() of attacker-controlled 'input.expr' with access to local variables (including a formatted request object). This yields remote code execution and potential data exfiltration. The code likely represents an insecure design/bug rather than intentionally malicious code, but it must be remediated before handling untrusted inputs. Also fix the apparent syntax error in getAttr.

This fragment intends to install and start KasmVNC by running many shell commands that create certs, write VNC password files, adjust group membership, and launch a VNC server. The primary security issues are unsafe shell interpolation (command injection risk), programmatic persistence of a possibly predictable password, execution with sudo based on unvalidated env vars, starting a VNC server exposed on 0.0.0.0 with disabled/basic auth, and multiple unsafe filesystem operations performed via shell. There is no clear evidence of obfuscated or direct exfiltration malware, but the behavior can provide an unauthorized remote access vector (backdoor-like) if used maliciously. Do not run this code without fixing shell usage, validating inputs, using secure randomly generated passwords, enforcing proper file permissions, and not disabling authentication.

This module implements privileged node and device management and exposes HTTP endpoints that accept user input used directly in shell commands and Docker operations. Main risks: command injection (unsanitized string interpolation into shell commands and os.popen), destructive device operations (partitioning, bind/unbind), supplying arbitrary images to be pulled and run as privileged containers, and use of an unencrypted/unprotected Docker TCP socket (tcp://...:2375). I assess this as not manifestly malware but a high-risk administrative component that must be strictly access-controlled and hardened (validate/sanitize inputs, avoid passing raw user values into shell/Docker operations, use secure Docker API access, avoid exposing endpoints publicly).

The analyzed fragment contains explicit high-risk patterns: a remote code execution vector via dynamic loading of assemblies from base64 payloads provided by input, and a potential backdoor/back-doors through the UE endpoint that can run arbitrary code. The presence of a time-based kill switch further elevates risk. While not all code paths are necessarily malicious in isolation, the combination of dynamic execution from untrusted input and the ability to spawn external processes constitutes a major security threat and a strong likelihood of malicious use in supply-chain contexts if deployed in public packages. Recommended actions include removing dynamic code execution paths, sandboxing or validating any loaded assemblies, eliminating hard-coded defaults, and performing a thorough threat-model and supply-chain audit before any reuse.

This module functions as a credential harvesting/exfiltration component: it collects Discord tokens (and optional metadata and host identifiers) and sends them in plaintext to an external Telegram chat using credentials retrieved from a local module. Behavior aligns with malicious data exfiltration and should be treated as high-risk. Do not execute this code; inspect and remove related artifacts (./encryption.js, any callers) and rotate any potentially exposed tokens or bot credentials.

This script performs untrusted deserialization (pickle.load) of a file specified via command-line and immediately executes the deserialized object. Combined with deleting the input file, this is a high-risk pattern for arbitrary code execution, backdoors, or supply-chain abuse. Do not use or run this code with untrusted inputs. The provided fragment also contains a likely typo/truncation ('rais'), so the sample may be incomplete or altered.

The script gathers information such as package name, directories, hostname, username, DNS servers, and package JSON data, and sends it to a remote server.

Live on npm for 2 hours and 22 minutes before removal. Socket users were protected even while the package was live.

This fragment intends to install and start KasmVNC by running many shell commands that create certs, write VNC password files, adjust group membership, and launch a VNC server. The primary security issues are unsafe shell interpolation (command injection risk), programmatic persistence of a possibly predictable password, execution with sudo based on unvalidated env vars, starting a VNC server exposed on 0.0.0.0 with disabled/basic auth, and multiple unsafe filesystem operations performed via shell. There is no clear evidence of obfuscated or direct exfiltration malware, but the behavior can provide an unauthorized remote access vector (backdoor-like) if used maliciously. Do not run this code without fixing shell usage, validating inputs, using secure randomly generated passwords, enforcing proper file permissions, and not disabling authentication.

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 code in the flagged file explicitly reads a local file from a fixed system path (/home/joben/Desktop/testsol/abstract_it.py) and transmits its contents via an HTTP request to a Discord webhook. The target URL is hardcoded as https://discordapp[.]com/api/webhooks/1278595755812327424/3xvzS30Bx8bOhooNJeY9gnYj2KjFb2-ZfV2rHpBdkS71tuibNeu56_mRFE38MrmQRa_j, with the embedded token included in the URL. This behavior is characteristic of malware designed for data exfiltration, as it automatically sends potentially sensitive file content to an external service without user consent.

This file is a blob of HTML/spam content with embedded links to adult videos, torrent downloads and suspicious redirectors (e.g. https://2023[.]redircdn[.]com/?…, http://rmdown[.]com/link[.]php?hash=…, http://data[.]down2048[.]com/list[.]php?…), plus numerous third-party image URLs. No executable code or proven malware payload is present, but the obfuscated redirects and torrent links pose a high risk of phishing, drive-by downloads or exposure to illicit content. Such anomalous content should be quarantined and removed from any legitimate software dependency.

The module performs silent host enumeration (including username, paths, and detailed system command outputs) and transmits that data to a hardcoded external collector. In the context of a third-party dependency this is a high-risk supply-chain backdoor/exfiltration behavior. Block or remove this code unless explicitly required and made opt-in and auditable.

This file is a blob of HTML/spam content with embedded links to adult videos, torrent downloads and suspicious redirectors (e.g. https://2023[.]redircdn[.]com/?…, http://rmdown[.]com/link[.]php?hash=…, http://data[.]down2048[.]com/list[.]php?…), plus numerous third-party image URLs. No executable code or proven malware payload is present, but the obfuscated redirects and torrent links pose a high risk of phishing, drive-by downloads or exposure to illicit content. Such anomalous content should be quarantined and removed from any legitimate software dependency.

This fragment intends to install and start KasmVNC by running many shell commands that create certs, write VNC password files, adjust group membership, and launch a VNC server. The primary security issues are unsafe shell interpolation (command injection risk), programmatic persistence of a possibly predictable password, execution with sudo based on unvalidated env vars, starting a VNC server exposed on 0.0.0.0 with disabled/basic auth, and multiple unsafe filesystem operations performed via shell. There is no clear evidence of obfuscated or direct exfiltration malware, but the behavior can provide an unauthorized remote access vector (backdoor-like) if used maliciously. Do not run this code without fixing shell usage, validating inputs, using secure randomly generated passwords, enforcing proper file permissions, and not disabling authentication.

This module constructs a JSON payload containing a provided token and the JUPYTERHUB_USER environment value and sends it to a hard-coded external HTTPS endpoint using embedded Basic Auth credentials. That behavior constitutes secret exfiltration and is high risk for supply-chain or privacy abuse. Immediate mitigations: do not use this code in untrusted environments; remove hard-coded credentials and endpoint; require explicit configuration and consent; avoid printing sensitive responses; add robust error handling and input validation. The source file also contains a syntax error that prevents execution until fixed.

This code is not obviously malicious in itself; it is intended to call an external solver (msolve) and parse its output. However, it contains a high-risk design choice: it executes an external binary and directly evaluates that binary's stdout via sage_eval, which yields arbitrary code execution if the external binary or its output is tampered with. If the msolve executable can be compromised (supply-chain attack, replaced binary, or attacker-controlled output), this code can execute arbitrary Python. Recommended mitigations: avoid eval-style parsing of external output, use a strict parser or sandbox evaluation, validate output structure and types before evaluation, and ensure the msolve binary is obtained and verified from a trusted source. Overall: low probability the code is intentionally malicious, but a significant security risk exists due to unsafe evaluation of external output.