AI Analysis
The package shows some signs of obfuscation and has metadata risks, but lacks clear indicators of malicious intent or credential theft. The overall risk is moderate, warranting further investigation.
- Presence of Base64 decoding suggesting possible obfuscation
- Insecure external links and incomplete maintainer profile
Per-check LLM notes
- Obfuscation: The presence of Base64 decoding suggests some level of obfuscation, but it could be legitimate for data encoding purposes.
- Credentials: No clear patterns indicating credential harvesting were found.
- Metadata: The package contains a non-secure external link and the maintainer has an incomplete profile with only one package, indicating potential unreliability.
Package Quality Overall: Medium (5.8/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Documentation URL: "Documentation" -> https://animica.org/docsDetailed PyPI description (2487 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
Type checker (mypy / pyright / pytype) referenced in project440 type-annotated function signatures detected in source
Active multi-contributor project
5 unique contributor(s) across 100 commits in animicaorg/allActive community — 5 or more distinct contributors
Heuristic Checks
Found 6 network call pattern(s)
rt urllib.error req = urllib.request.Request(url, headers={ "User-Agent": "animica-ag0.1", }) with urllib.request.urlopen(req, timeout=timeout) as resp: status =encode("utf-8") req = urllib.request.Request( rpc_url, data=body, headersPOST", ) with urllib.request.urlopen(req, timeout=timeout) as resp: data = js}}).encode("utf-8") req = urllib.request.Request(url, data=body, method="POST",json"}) try: with urllib.request.urlopen(req, timeout=timeout_sec) as resp: ct =
Found 6 obfuscation pattern(s)
upstream_payload = base64.b64decode(upstream_b64) except Exception: #try: raw = base64.b64decode(output_b64) except Exception: # noqa: BLE0010s") upstream_bytes = base64.b64decode(upstream_b64) if runner is not None: outtry: raw = base64.b64decode(output_b64) tag = compute_payload_tag(up_bytes = base64.b64decode(up_b64) if up_b64 else b"" if runner israw = base64.b64decode(out_b64) tag = compute_payload_tag(
Found 6 shell execution pattern(s)
dict]: try: out = subprocess.check_output( ["git", "log", f"--max-count={max_try: patch = subprocess.check_output( ["git", "show", "--unified=3", "--no-color"try: r = subprocess.run(["bash", "-n"], input=s, text=True,arcname=src.name) subprocess.check_call(["zstd", "-q", "--rm", "-19",ath}" try: proc = subprocess.run( ["grep", "-rn", "--include=*", pattern, str(p)]str: try: proc = subprocess.run( ["bash", "-c", command], capture_ou
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8545/rpc
Repository animicaorg/all appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a decentralized job marketplace using the 'animica' Python package. This application will serve as a platform where users can post jobs requiring specific skills and other users can apply for these jobs. The platform will leverage the Animica blockchain for secure transactions and smart contract management. ### Features: - **User Authentication:** Users can sign up, log in, and manage their profiles. - **Job Posting:** Authenticated users can post jobs with details such as job description, required skills, and payment amount. - **Job Application:** Other users can apply for posted jobs. - **Smart Contract Management:** Once a job is accepted, a smart contract is created to ensure fair and secure transactions between the employer and the worker. - **Payment Processing:** Payments are processed through the Animica blockchain to ensure security and transparency. - **Dispute Resolution:** A mechanism for handling disputes between employers and workers. ### Steps to Build the Application: 1. **Set Up Environment:** Install Python and the necessary dependencies including the 'animica' package. 2. **Authentication System:** Implement user authentication using the Animica wallet functionalities provided by the 'animica' package. 3. **Job Posting Interface:** Develop an interface where users can post jobs specifying all relevant details. 4. **Application Handling:** Allow other users to apply for these jobs. 5. **Smart Contract Creation:** Use the 'animica' package to create and deploy smart contracts when a job is accepted. 6. **Transaction Processing:** Utilize the Animica blockchain capabilities within the 'animica' package to process payments securely. 7. **Dispute Resolution Mechanism:** Implement a system for resolving any disputes that may arise between parties involved in the job. 8. **Testing and Deployment:** Thoroughly test the application to ensure all features work as expected and then deploy it to a server. ### How 'animica' Package is Utilized: - **Wallet Operations:** For managing user accounts and performing transactions. - **Node Interaction:** To interact with the Animica blockchain for deploying smart contracts and processing transactions. - **Miner Functions:** To facilitate the creation of new blocks and confirmations on the blockchain. - **Contracts:** For defining the terms of each job and ensuring they are executed according to the agreed-upon rules.