Search Attack Logs - IPS Signatures#
Search for intrusion prevention system (IPS) attack logs and security threats.
✅ All code examples tested: Verified against FortiAnalyzer v7.4.8, v7.6.4, v8.0.0.
Overview#
This example shows how to search IPS/IDS attack logs for detected security threats - useful for:
Monitoring intrusion attempts and attacks
Security incident investigation
Threat analysis and pattern recognition
Compliance reporting on security events
SOC operations and threat hunting
This operation uses the two-step asynchronous pattern. See the LogView Search Overview for complete workflow details.
Endpoint Details#
Method: POST
URL: /jsonrpc
API Path (Step 1): /logview/adom/{adom}/logsearch
API Path (Step 2): /logview/adom/{adom}/logsearch/{tid}
##Step 1: Submit Search Request
Key Parameters#
Parameter |
Type |
Required |
Description |
|---|---|---|---|
|
|
Yes |
ADOM name (e.g., “root”) |
|
|
Yes |
Must be |
|
|
No |
Optional filter expression |
|
|
Yes |
Time range for search |
Filter Examples#
By Severity:
severity=critical
severity=high
By Attack Name:
attack contains "SQL.Injection"
attack contains "XSS"
By Source IP:
srcip==10.0.1.100
By Action:
action=dropped
action=detected
{
"method": "add",
"params": [{
"url": "/logview/adom/root/logsearch",
"data": {
"logtype": "attack",
"time-range": {
"start": "2025-11-09 00:00:00",
"end": "2025-11-09 23:59:59"
}
}
}],
"session": "{{session_id}}",
"id": 1
}
{
"result": [{
"data": {
"tid": 12349
},
"status": {
"code": 0,
"message": "OK"
}
}]
}
Step 2: Fetch Results#
{
"method": "get",
"params": [{
"url": "/logview/adom/root/logsearch/12349",
"data": {
"limit": 100,
"offset": 0
}
}],
"session": "{{session_id}}",
"id": 2
}
{
"result": [{
"data": {
"tid": 12349,
"status": "done",
"percentage": 100,
"total_lines": 64,
"logs": [
{
"date": "2025-11-09",
"time": "16:18:42",
"devname": "FGT-01",
"srcip": "203.0.113.25",
"dstip": "10.0.1.100",
"attack": "SQL.Injection",
"action": "dropped",
"severity": "critical",
"policyid": 8
}
]
},
"status": {
"code": 0,
"message": "OK"
}
}]
}
Complete Python Example#
import requests
import urllib3
import time
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
def search_attack_logs(session_id, adom, time_range, filter_expr=None):
"""
Search for IPS attack logs
Args:
session_id: Active session ID
adom: ADOM name
time_range: Time range dict
filter_expr: Optional filter expression
Returns:
list: Attack log entries
"""
url = "https://faz.example.com/jsonrpc"
payload_data = {
"logtype": "attack",
"time-range": time_range
}
if filter_expr:
payload_data["filter"] = filter_expr
# Step 1: Submit search
payload = {
"method": "add",
"params": [{
"url": f"/logview/adom/{adom}/logsearch",
"data": payload_data
}],
"session": session_id,
"id": 1
}
response = requests.post(url, json=payload, verify=False)
result = response.json()
if result['result'][0]['status']['code'] != 0:
raise Exception(f"Search failed")
tid = result['result'][0]['data']['tid']
print(f"✓ Attack search submitted. TID: {tid}")
# Step 2: Poll and fetch
while True:
payload = {
"method": "get",
"params": [{
"url": f"/logview/adom/{adom}/logsearch/{tid}"
}],
"session": session_id,
"id": 2
}
response = requests.post(url, json=payload, verify=False)
data = response.json()['result'][0]['data']
if data['status'] == 'done' and data['percentage'] == 100:
print(f"✓ Found {data['total_lines']} attack logs")
return data.get('logs', [])
print(f" Status: {data['percentage']}%")
time.sleep(2)
# Example: Search for critical severity attacks
logs = search_attack_logs(
session_id="your_session_id",
adom="root",
time_range={"last-n-hours": 24},
filter_expr="severity=critical"
)
for log in logs[:10]:
print(f"{log['time']} | {log['srcip']} -> {log['dstip']} | "
f"Attack: {log.get('attack', 'Unknown')} | Severity: {log.get('severity', 'N/A')}")
Use Cases#
Monitor Critical Attacks#
logs = search_attack_logs(
session_id=session,
adom="root",
time_range={"last-n-hours": 24},
filter_expr="severity=critical"
)
Investigate Specific Attack Type#
logs = search_attack_logs(
session_id=session,
adom="root",
time_range={"last-n-hours": 48},
filter_expr='attack contains "SQL.Injection"'
)