如何检测第三方Facebook Graph API客户端是否泄露敏感数据？

Great question—since this is a closed-source binary pulling sensitive Facebook data, you need to combine several monitoring and auditing approaches to spot leaks. Here’s a step-by-step breakdown:

This is the most direct way to spot external leaks:

• Use a local packet analyzer like Wireshark or a proxy tool like Fiddler to capture all outgoing traffic from the application. Most tools let you filter traffic by process ID, so you can isolate exactly what this binary is sending over the network.
• Keep an eye out for connections to non-Facebook, non-database endpoints. Start with unencrypted HTTP traffic first—any sensitive data sent in cleartext is an immediate red flag. For HTTPS traffic, you can use tools like mitmproxy to intercept and decrypt it (note: this requires installing a root certificate, so do this in an isolated test environment to avoid compromising your main system’s security).
• Verify that the only outbound data related to your Facebook content is going to your intended database. Inspect the payloads: are your posts, comments, or personal metadata being sent to unknown IPs or domains?

Even if data isn’t leaking externally, the app might be storing more than it needs or in insecure locations:

• First, track down all places the app writes data. You know it uses a database, but check hidden folders, temporary files, registry entries, or cloud sync folders (like Dropbox/OneDrive) if the app has access to them.
• For the database itself, use the appropriate tool to inspect its contents (e.g., SQLite Studio for SQLite databases, pgAdmin for PostgreSQL). Confirm only your last 10 posts/comments are stored—look for extra data like full user profiles, access tokens, or duplicate copies being saved to secondary tables or files.
• Check if the database is encrypted. Plaintext storage is a risk even without external leaks, but cross-reference what you find here with your network traffic logs to see if any of this extra data is being sent out.

Since the app runs on a timer, track its activity across multiple cycles:

• Use Task Manager (Windows) or Activity Monitor (macOS) to watch for unexpected behavior: spawning unknown processes, connecting to the internet outside scheduled API pulls, or accessing files unrelated to its core function (like your browser data or other personal files).
• Enable system logs (Windows Event Logs or macOS Console) to monitor the app’s system calls. Look for events related to network connections, file writes, or inter-process communication (IPC)—if it’s sending data to another app on your PC that then forwards it externally, that’s an indirect leak.
• Test in an isolated virtual machine (VM) with restricted internet access: only allow connections to your Facebook API endpoint and your database. Run the app here and watch for failed outbound connection attempts—these are a sign the app is trying to send data to unauthorized destinations.

If you’re comfortable with technical tools, you can dig into the binary itself:

• Use reverse engineering tools like Ghidra or IDA Pro to disassemble the binary. Search for strings related to external domains, API keys, or data exfiltration logic.
• Look for code that handles network requests beyond the Facebook API and your database. Watch for encryption/decryption routines that might be obfuscating outgoing data.
• Important note: Reverse engineering closed-source software may violate the app’s terms of service. Make sure you’re legally allowed to do this before proceeding.

By combining these methods, you’ll cover both obvious leaks (cleartext data sent to unknown servers) and more subtle ones (encrypted exfiltration, indirect data sharing via other apps). Start with network monitoring and local storage audits—they’re the most accessible and effective for most users.

内容的提问来源于stack exchange，提问作者ali_sumsum