
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| Burst 142/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 160/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 25/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 28/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 30/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 31/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 32/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 33/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 35/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 36/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 37/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 40/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 45/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 72/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 78/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 82/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 84/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 86/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 91/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 93/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 94/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 96/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 98/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 99/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| Danger medium hits: 155 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 159 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 162 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 163 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 164 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 245 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 285 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 82 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger strong hits: 12 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 24 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 30 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 32 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 42 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 | |
| UA suspicious | Behavioral anomaly detected by automated analysis | +15 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 158.158.32.229 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
IP 158.158.32.229 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
Address UA spoofing from 158.158.32.229: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
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.
158.158.32.229 has been assigned a threat score of 280/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
Threat intelligence analysis has linked 158.158.32.229 to malicious activity originating from Madrid, Spain, operating on the network of Microsoft Corporation. The address has been under observation since its initial detection. During its 4-day observation window, we recorded 1,559 hostile requests from this IP — roughly 389.8 per day on average. Classified as a hosting IP, this address likely runs on a rented server or cloud instance. Attackers prefer datacenter IPs for their high bandwidth and disposable nature. The combination of 3 distinct attack vectors indicates a sophisticated, multi-pronged threat actor deploying automated tools that probe multiple attack surfaces simultaneously. 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.
Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.
Insider threats — whether malicious or negligent — account for a significant percentage of data breaches. Behavioral analytics detecting unusual access patterns, data downloads, and privilege escalation help identify insider risks before damage occurs.