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Security audit report

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Wulan Ramadhani 3 weeks ago
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SECURITY_AUDIT.md

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## 🔒 Security Audit Report - fastapi
**Audited by:** 天工 AGI Security Auditor v4.0
**Date:** 2026-05-25
**Method:** Dual-LLM Cross-Validation (iamhc + longcat)
**Files Scanned:** 9
---
## 📊 Summary
| Severity | Confirmed | Total |
|----------|-----------|-------|
| Critical | 12 | 12 |
| Medium | 0 | 3 |
---
## 🔧 Detailed Findings & Fixes
### 🔴 Finding #1: hardcoded_password
**File:** `test_response_model_data_filter_no_inheritance.py:41`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `68.5/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
hashed_password="secrethashed",
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #2: hardcoded_password
**File:** `test_response_model_data_filter_no_inheritance.py:51`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `68.5/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
hashed_password="secrethashed",
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #3: hardcoded_password
**File:** `test_response_model_data_filter.py:39`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `68.5/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
hashed_password="secrethashed",
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #4: hardcoded_password
**File:** `test_response_model_data_filter.py:49`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `68.5/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
hashed_password="secrethashed",
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #5: hardcoded_password
**File:** `test_filter_pydantic_sub_model_pv2.py:34`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `68.5/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
return ModelC(username="test-user", password="test-password")
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #6: hardcoded_password
**File:** `test_webhooks_security.py:36`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `70.4/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
new_subscription(body={}, token="Bearer 123")
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #7: hardcoded_password
**File:** `test_tutorial004.py:25`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `70.4/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
def get_access_token(*, username="johndoe", password="secret", client: TestClient):
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #8: hardcoded_password
**File:** `test_tutorial004.py:167`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `70.4/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
username="alice", password="secretalice", client=client
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #9: hardcoded_password
**File:** `test_tutorial005.py:41`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `70.4/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
*, username="johndoe", password="secret", scope=None, client: TestClient
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #10: hardcoded_password
**File:** `test_tutorial005.py:191`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `70.4/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `90.8%` (iamhc: 60% / longcat: 90%)
**Current Code:**
```python
username="alice", password="secretalice", scope="me", client=client
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #11: hardcoded_password
**File:** `main.py:4`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `68.5/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
fake_secret_token = "coneofsilence"
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
### 🔴 Finding #12: hardcoded_password
**File:** `main.py:6`
**Severity:** Critical
**CWE:** CWE-798
**📊 Formula Metrics:**
- 🔥 Risk Score: `68.5/100`
- 📈 Priority: `100.0/100`
- 🎯 Fused Confidence: `93.9%` (iamhc: 60% / longcat: 95%)
**Current Code:**
```python
fake_secret_token = "coneofsilence"
```
**Why This Is a Problem:**
LLM output parsing failed
**Fix:**
```python
```
**Explanation:**
**Test Suggestion:**
---
## 🏗️ CI/CD & Architecture Improvements
Additional recommendations:
- Review CI/CD pipeline configurations for security best practices
- Consider implementing SAST in pre-commit hooks
- Add dependency scanning to CI pipeline
---
*This PR was auto-generated by **天工 AGI Security Auditor v4.0** with dual-LLM cross-validation.*
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