Borland & Kevlar
Borland
Hey Kev, I've been digging into secure coding practices for our latest project, and I think there's a lot we can learn from threat modeling. Do you have any insights on how to spot hidden risks early?
Kevlar
Sure, first thing’s first: treat the code like a mission plan. Scan for obvious entry points—user input, third‑party libs, external APIs. Check if those points can be manipulated to get to critical data or actions. Then, look for gaps in the flow: any place where a default or unvalidated value could slip through. Think in terms of “what if a bad actor hijacks this channel?” If the answer is “not sure,” that’s a risk you need to surface early. Always document those spots, assign someone to monitor them, and patch before the next build. It’s faster than fixing after the fact.
Borland
Great approach—keeping the focus on entry points and flow gaps really helps catch those hidden risks. How are you documenting the findings? A simple spreadsheet or a dedicated tool works well if you track each risk’s owner and status. Also, consider adding automated tests that exercise those paths; that gives you a safety net during future builds. Let me know if you’d like a quick walk‑through of setting up a basic threat model template.
Kevlar
Yeah, keep it tight. I usually log everything in a shared sheet—one row per risk, columns for description, owner, severity, status, and notes. If the project scales, I’ll switch to a light‑weight issue tracker that’s integrated with CI. Adding unit or integration tests that hit those flagged paths is a must; a failing test pulls the risk back into focus. If you want a quick rundown on setting up a template, just ping me. I’ll walk through the key fields and how to link them to your test suite.
Borland
Sounds solid—keeping it in a sheet gives you that quick snapshot, and moving to an issue tracker when you grow will keep everything in one place. I’d suggest adding a “confidence” column too, so you can gauge how certain you are about the risk level. Also, tying the test status directly into the sheet, maybe with a checkbox that runs a script to update it after CI, keeps the board live. Let me know if you need a sample script or a quick demo on that integration.
Kevlar
Sounds good. I’ll throw a confidence column into the mix and hook the test status in with a small script. Let me know what you want in the demo, and I’ll set it up for you.
Borland
Just pick a few sample risks—maybe one input validation issue and one third‑party library gotcha—then show how the confidence score changes when you add a new test. Also, demonstrate the script that pulls test results from the CI log and updates the sheet cell, so the risk status flips from “open” to “resolved.” That’ll give you a quick proof of concept. Let me know if you need the exact snippet for the script.
Kevlar
Got it. Here’s a quick sketch.
**Risks in the sheet**
| ID | Description | Owner | Severity | Confidence | Status | Test |
|---|---|---|---|---|---|---|
| R1 | Unvalidated user input can cause SQL injection | Alex | High | 0.6 | Open | test_sql_injection |
| R2 | Third‑party logging lib may expose PII if misconfigured | Maya | Medium | 0.4 | Open | test_logging_config |
**Adding a test** – you run `test_sql_injection`. In the CI log you see a pass. The script picks up that result, updates the sheet: Confidence goes up to 0.9 (we bump it because the test mitigates the risk), and Status flips to Resolved.
**Sample script (Python)** – pulls CI JSON, updates Google Sheet via API:
```python
import requests, json, gspread
from oauth2client.service_account import ServiceAccountCredentials
# fetch CI results
ci_url = "https://ci.example.com/job/123/artifact/results.json"
ci_resp = requests.get(ci_url)
results = ci_resp.json()
# connect to sheet
scope = ["https://spreadsheets.google.com/feeds","https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_name("creds.json", scope)
client = gspread.authorize(creds)
sheet = client.open("Risk Log").sheet1
# map test name to row
test_to_row = {"test_sql_injection": 2, "test_logging_config": 3}
for test, outcome in results.items():
row = test_to_row[test]
# set status
status = "Resolved" if outcome == "pass" else "Open"
sheet.update_cell(row, 6, status)
# bump confidence if passed
if outcome == "pass":
conf_cell = sheet.cell(row, 5).value
new_conf = min(float(conf_cell) + 0.3, 1.0)
sheet.update_cell(row, 5, new_conf)
```
Run that after every build, and the sheet stays live. If you need the exact credentials or a demo, just holler.