
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Directory Scan | Behavioral anomaly detected by automated analysis | +0 | |
| DDoS / Flood | Behavioral anomaly detected by automated analysis | +0 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Block 20.197.232.12 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.
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.
20.197.232.12 has been assigned a threat score of 280/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
Network traffic from 20.197.232.12, located in São Paulo, Brazil, operating on the network of Microsoft Corporation, has been classified as malicious by our automated threat scoring engine. Our sensors captured 1,488 malicious requests from this address across a 10-day span, reflecting a sustained attack cadence of ~148.8 requests per day. With 102 flagged addresses, Brazil 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.
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.
Cloud platforms provide attackers with elastic, disposable infrastructure. Free tier accounts, stolen credit cards, and compromised cloud credentials enable rapid deployment of attack infrastructure that can scale to millions of requests and disappear within hours.