
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA suspicious (short/empty) | Behavioral anomaly detected by automated analysis | +15 | |
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| Danger strong hits: 42 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 247 | Medium-risk: admin panels, config files | +60 | |
| Burst: 22 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 69 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 246 | Medium-risk: admin panels, config files | +60 | |
| Burst: 71 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 21 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 248 | Medium-risk: admin panels, config files | +60 | |
| Burst: 23 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 63 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 70 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 244 | Medium-risk: admin panels, config files | +60 | |
| Burst: 76 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 56 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 367 | Medium-risk: admin panels, config files | +60 | |
| Burst: 74 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 28 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Burst: 24 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 73 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 77 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 37 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 210 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 40 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 368 | Medium-risk: admin panels, config files | +60 | |
| Burst: 17 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 61 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Danger medium hits: 19 | Medium-risk: admin panels, config files | +60 | |
| Burst: 16 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 19 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 31 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 256 | Medium-risk: admin panels, config files | +60 | |
| Burst: 72 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 2 | High-risk paths: shells, RCE vectors, exploits | +50 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 | |
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 | |
| Danger strong hits: 30 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Burst: 66 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 78 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 75 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 45 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 258 | Medium-risk: admin panels, config files | +60 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 4.205.60.171 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
IP 4.205.60.171 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
IP 4.205.60.171 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
4.205.60.171 has been assigned a threat score of 280/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.
The following attack categories were identified:
Our monitoring infrastructure has identified 4.205.60.171, geolocated to Toronto, Canada, operating on the network of Microsoft Corporation, as a source of suspicious network activity. During its 1-day observation window, we recorded 36 hostile requests from this IP — roughly 36 per day on average. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. The combination of 3 distinct attack vectors indicates a sophisticated, multi-pronged threat actor deploying automated tools that probe multiple attack surfaces simultaneously. With 101 flagged addresses, Canada represents a significant presence in our threat database. A score of 280/100 places this address in the top tier of severity. Block and investigate any historical connections.
This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.
Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.
Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.