ABUSE.MOM
THREAT REPORT

IP Threat Report
81.82.193.88

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-12 08:39:59
First seen: 2026-07-06 10:01:43
Last seen: 2026-07-12 00:42:42
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 248.

BOT_UAREFERERUA_CHANGED
01

Geolocation & Classification

IP Address
81.82.193.88
Type
Residential
Country
🇧🇪 Belgium
City
Aalst
ISP
Telenet Operaties N.V.
Organization
Telenet
Autonomous System
AS6848 Telenet BV
Hit Count
248
02

Detection Signatures

SignatureDescriptionPointsSeverity
Foreign refererReferer from unrelated external domain+10
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 75
03

Observed Activity

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

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

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

04

Timeline

2026-07-06 10:01:43
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Foreign referer (+10), UA bot: Go-http-client (+40), UA changed (+25)
2026-07-12 00:42:42
Last malicious request observed
Total score reached: 75/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Telenet Operaties N.V.
AS6848 · 🇧🇪 Belgium
06

Recommendations

Actions taken & recommended

  • IP 81.82.193.88 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

🤖 User-Agent Anomaly Defense

IP 81.82.193.88 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

09

Blacklist Status (DNSBL)

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

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

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

10

Threat Analysis

81.82.193.88 has been assigned a threat score of 75/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

81.82.193.88 is registered in Aalst, Belgium, operating on the network of Telenet Operaties N.V.. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 5-day observation window, we recorded 248 hostile requests from this IP — roughly 49.6 per day on average. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. Belgium currently accounts for 103 blocked IPs in our database, making it a significant source of malicious traffic. At 75/100, this IP warrants immediate defensive action.

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 Belgium

34.78.169.70 (295)34.22.208.175 (285)34.22.171.171 (263)103.109.244.95 (255)185.132.187.64 (255)View all →

🏢 Same network: AS6848

84.195.234.166 (80)84.193.170.154 (80)View all →
12

Security Intelligence

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

🔍 Check Any IP Address

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