IP Threat Report
64.50.191.32
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 2 | High-risk paths: shells, RCE vectors, exploits | +50 | |
| Burst: 5 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Burst: 25 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 28 req / 10s | Abnormally fast request rate — automated scanning | +35 |
Observed Activity
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Timeline
Network Provider
Recommendations
Actions taken & recommended
- IP 64.50.191.32 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Other malicious IPs detected in the same /24 subnet — consider blocking 64.50.191.0/24
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
🌊 Flood / DDoS Mitigation
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 64.50.191.32.
Neighbors in 64.50.191.0/24
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
Open Ports & Services
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 25 | SMTP | Medium | SMTP mail server — can be abused for spam relay |
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| CVE ID | Link |
|---|---|
| CVE-2019-11047 | NVD → |
| CVE-2019-11050 | NVD → |
| CVE-2022-31628 | NVD → |
| CVE-2020-7059 | NVD → |
| CVE-2020-7067 | NVD → |
| CVE-2024-25117 | NVD → |
| CVE-2022-31629 | NVD → |
| CVE-2020-7060 | NVD → |
| CVE-2017-8923 | NVD → |
| CVE-2019-11048 | NVD → |
| CVE-2020-7063 | NVD → |
| CVE-2019-11046 | NVD → |
| CVE-2022-4900 | NVD → |
| CVE-2020-7069 | NVD → |
| CVE-2019-11045 | NVD → |
| CVE-2024-3566 | NVD → |
| CVE-2020-7070 | NVD → |
| CVE-2020-7061 | NVD → |
| CVE-2019-11044 | NVD → |
| CVE-2020-7062 | NVD → |
| CVE-2007-3205 | NVD → |
| CVE-2020-7068 | NVD → |
| CVE-2020-7064 | NVD → |
| CVE-2022-37454 | NVD → |
| CVE-2013-2220 | NVD → |
🔴 This host has 26 known CVEs associated with its exposed services. This volume strongly suggests severely outdated software. Review each CVE in the NVD database.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
Blacklist Status (DNSBL)
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.
Threat Analysis
64.50.191.32 has been assigned a threat score of 130/100 (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 Analysis
Network traffic from 64.50.191.32, located in Los Angeles, United States, operating on the network of BreezeHost, has been classified as malicious by our automated threat scoring engine. Our sensors captured 14 malicious requests from this address across a 23-day span, reflecting a sustained attack cadence of ~0.6 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. At 130/100, this is an extremely high-risk address. All traffic should be considered hostile.
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
Related Threats
🏢 Same network: AS400810
95.169.173.40 (130)151.243.143.47 (95)64.50.191.33 (95)154.58.229.82 (95)95.169.173.32 (95)View all →Security Intelligence
💡 Credential Stuffing at Scale
Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.
💡 Behavioral Analysis vs Signature Detection
Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.