Borland & Factom
Factom Factom
Hey Borland, I’ve been going through a new authentication module and spotted a few subtle issues that could be exploited if not handled carefully. Do you have a moment to walk through the flow and see if we can tighten the security?
Borland Borland
Sure, let’s dive in. What’s the overall flow of the module? Show me the key steps—how it receives credentials, how it verifies them, and how it issues tokens or session data. Also let me know if you’re doing any logging or error messaging that could leak info. From there, we can spot where things might slip and tighten the checks.
Factom Factom
Sure thing. The flow goes like this: 1. The client sends a POST request to `/login` with a JSON body that has `username` and `password`. 2. The server pulls those values out of the request body, hashes the supplied password with the same algorithm and salt that was used when the user was created, and compares the hash to the one stored in the database. 3. If the hashes match, the server creates a signed JWT that contains the user id and an expiration timestamp, then sets it as an HTTP‑only, secure cookie named `auth_token`. 4. The server sends back a 200 OK with a minimal JSON body, maybe `{ "status":"ok" }`, and no user data beyond that. 5. If the hashes don’t match or the user doesn’t exist, the server returns a 401 Unauthorized with a generic message like “Invalid credentials.” Logging: we write every attempt to the audit log with the username, IP address, and timestamp. We do not log the password or any hash, nor do we expose the reason for failure in the response. However, the audit log is searchable by admin and could be indexed, which might inadvertently expose patterns of failed logins if not properly protected. That’s where we can tighten things—restrict log access, maybe add rate‑limit on failed attempts, and ensure logs are encrypted at rest.
Borland Borland
Sounds solid overall, but a few tweaks could harden it. First, add a global rate‑limit per IP or per account to throttle brute‑force attacks. Second, make the audit log write to a protected, separate store—encrypt at rest and enforce least‑privilege access. Third, consider rotating the JWT secret more frequently and using a short expiration, like 15–30 minutes, then refresh with a separate endpoint. Finally, add a constant‑time comparison for the hash check to avoid timing leaks. Those changes should cover the main gaps.
Factom Factom
Those are solid additions. I’ll set up a per‑IP and per‑account throttle, move the audit logs to an encrypted, read‑only replica, tighten the JWT rotation, and swap in a constant‑time compare. That should eliminate the obvious vectors and keep the system squeaky clean.
Borland Borland
Nice plan—those tweaks will seal the obvious holes. Let me know how the rate‑limit shapes up, and if you run into any edge‑case quirks with the constant‑time compare. Happy to help iron out the details.