ABUSE.MOM
THREAT REPORT

IP Threat Report
83.168.95.114

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-26 04:20:08
First seen: 2026-06-15 11:45:35
Last seen: 2026-07-26 04:02:54
200

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 200/100. Total malicious requests observed: 243.

BURSTDANGER_PATHREFERER
01

Geolocation & Classification

IP Address
83.168.95.114
Type
Unknown
Country
🇵🇱 Poland
City
Warsaw
ISP
SkyPass Solutions Sp. z.o.o.
Organization
SkyPass Solutions Sp. z.o.o.
Autonomous System
Unknown
Hit Count
243
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 16/10sAbnormally fast request rate — automated scanning+35
Burst 9/2sAbnormally fast request rate — automated scanning+35
DDoS / FloodBehavioral anomaly detected by automated analysis+0
Danger strong hits: 16High-risk paths: shells, RCE vectors, exploits+100
Directory ScanBehavioral anomaly detected by automated analysis+0
Foreign refererReferer from unrelated external domain+10
Σ = 180
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
[redacted]
GET
/page
200
Requests shown: 2 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-06-15 11:45:35
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 16/10s (+35), Burst 9/2s (+35), DDoS / Flood
2026-07-26 04:02:54
Last malicious request observed
Total score reached: 200/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
06

Recommendations

Actions taken & recommended

  • IP 83.168.95.114 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • 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 83.168.95.114.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

✓ Clean
spam.dnsbl.sorbs.net

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

83.168.95.114 has been assigned a threat score of 200/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

Network traffic from 83.168.95.114, located in Warsaw, Poland, operating on the network of SkyPass Solutions Sp. z.o.o., has been classified as malicious by our automated threat scoring engine. During its 40-day observation window, we recorded 243 hostile requests from this IP — roughly 6.1 per day on average. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. Poland currently accounts for 101 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 200/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

11

Related Threats

🇵🇱 Top threats from Poland

170.168.175.34 (313)170.168.96.250 (313)170.168.175.156 (313)20.215.69.209 (280)20.215.249.162 (280)View all →
12

Security Intelligence

💡 DDoS Mitigation Approaches

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.

💡 Privacy-Preserving Threat Detection

Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.

🔍 Check Any IP Address

Share this report: