
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Burst 12/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 13/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 16/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 17/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 36/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 42/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 50/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 52/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 53/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 54/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 56/10s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| Danger medium hits: 1017 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 276 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 48 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 969 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger strong hits: 110 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 126 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 372 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 498 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| UA changed | Multiple User-Agents — bot rotation technique | +25 | |
| 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.
We have detected 358 malicious IPs from this autonomous system.
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 192.253.209.103.
IP 192.253.209.103 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
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.
192.253.209.103 has been assigned a threat score of 255/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
The following attack categories were identified:
192.253.209.103 is registered in Jersey City, United States, operating on the network of GSL Networks Pty LTD. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 8 days, this IP generated 463 malicious requests, averaging approximately 57.9 requests per day. The address operates as a VPN/proxy exit node. Attackers route traffic through anonymizing services to obscure their real location and evade IP-based security controls. The dual attack vectors of Request Flooding combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. With 36,222 flagged addresses, United States represents a major presence in our threat database. With a threat score of 255/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
This IP is associated with a VPN or proxy service. Attackers frequently route their traffic through anonymizing services to obscure their true location. This makes attribution more challenging but the malicious behavior patterns remain detectable.
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.
Race conditions occur when application behavior depends on the timing of concurrent operations. Attackers exploit these timing windows to bypass limits, duplicate transactions, or escalate privileges by sending carefully timed parallel requests.