
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.
Add 173.234.154.237 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.
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.
173.234.154.237 has been assigned a threat score of 165/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.
Threat intelligence analysis has linked 173.234.154.237 to malicious activity originating from Edison, United States, operating on the network of Leaseweb USA, Inc.. The address has been under observation since its initial detection. During its 11-day observation window, we recorded 1,618 hostile requests from this IP — roughly 147.1 per day on average. Our records show 106 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. At 165/100, this is an extremely high-risk address. All traffic should be considered hostile.
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.
Monitoring dark web forums and marketplaces provides advance warning of planned attacks, leaked credentials, and compromised data. This intelligence feeds into proactive defense measures before attacks reach their targets.