ABUSE.MOM
THREAT REPORT

IP Threat Report
91.106.40.68

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-10 01:54:50
First seen: 2026-08-03 12:59:38
Last seen: 2026-08-09 04:16:56
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 211.

BURST
01

Geolocation & Classification

IP Address
91.106.40.68
Type
Residential
Country
🇮🇶 IQ
City
Baghdad
ISP
Hala Al Rafidain Telecom Ltd
Organization
Hala Al Rafidain Telecom Ltd
Autonomous System
AS58322 Hala Al Rafidain Company for Communications and Internet LTD.
Hit Count
211
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 19/10sAbnormally fast request rate — automated scanning+35
Burst 6/2sAbnormally fast request rate — automated scanning+35
Σ = 70
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

2026-08-03 12:59:38
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 19/10s (+35), Burst 6/2s (+35)
2026-08-09 04:16:56
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Hala Al Rafidain Telecom Ltd
AS58322 · 🇮🇶 IQ
06

Recommendations

Actions taken & recommended

  • IP 91.106.40.68 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • 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 91.106.40.68.

09

Blacklist Status (DNSBL)

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

✓ Clean
cbl.abuseat.org
✓ Clean
bl.blocklist.de
✓ Clean
zen.spamhaus.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
b.barracudacentral.org
✓ Clean
dnsbl.dronebl.org
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

91.106.40.68 has been assigned a threat score of 70/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

Our monitoring infrastructure has identified 91.106.40.68, geolocated to Baghdad, IQ, operating on the network of Hala Al Rafidain Telecom Ltd, as a source of suspicious network activity. During its 5-day observation window, we recorded 211 hostile requests from this IP — roughly 42.2 per day on average. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. Our records show 102 malicious IPs originating from IQ, positioning it as a significant contributor to global threat activity. The score of 70/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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.

11

Related Threats

🇮🇶 Top threats from IQ

212.237.120.164 (295)212.237.121.194 (245)212.237.121.168 (245)212.237.120.204 (245)212.237.120.91 (245)View all →

🏢 Same network: AS58322

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.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

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