
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Burst: 5 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 6 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Danger strong hits: 6 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Burst: 8 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 10 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 14 req / 10s | Abnormally fast request rate — automated scanning | +35 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 98.89.43.204 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| CVE ID | Link |
|---|---|
| CVE-2017-3736 | NVD → |
| CVE-2025-66200 | NVD → |
| CVE-2018-0732 | NVD → |
| CVE-2023-3817 | NVD → |
| CVE-2013-4365 | NVD → |
| CVE-2026-22796 | NVD → |
| CVE-2018-0737 | NVD → |
| CVE-2025-55753 | NVD → |
| CVE-2020-1968 | NVD → |
| CVE-2022-1292 | NVD → |
| CVE-2019-1551 | NVD → |
| CVE-2019-1547 | NVD → |
| CVE-2013-2765 | NVD → |
| CVE-2012-4360 | NVD → |
| CVE-2023-0464 | NVD → |
| CVE-2013-0942 | NVD → |
| CVE-2022-4304 | NVD → |
| CVE-2025-68160 | NVD → |
| CVE-2017-3738 | NVD → |
| CVE-2023-0215 | NVD → |
| CVE-2009-1390 | NVD → |
| CVE-2019-1563 | NVD → |
| CVE-2023-2650 | NVD → |
| CVE-2018-0734 | NVD → |
| CVE-2022-0778 | NVD → |
🔴 Security scanning identified 57 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
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.
98.89.43.204 has been assigned a threat score of 135/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
Our monitoring infrastructure has identified 98.89.43.204, geolocated to Ashburn, United States, operating on the network of Amazon.com, as a source of suspicious network activity. Over a period of 2 days, this IP generated 7 malicious requests, averaging approximately 3.5 requests per day. 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 IP is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. United States currently accounts for 201 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 135/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
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.
Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.