ABUSE.MOM
THREAT REPORT

IP Threat Report
179.125.246.245

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 06:53:18
First seen: 2026-03-19 15:00:05
Last seen: 2026-03-19 15:00:05
83

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 83/100. Total malicious requests observed: 1.

BOT_UADANGER_PATHMETHOD
01

Geolocation & Classification

IP Address
179.125.246.245
Type
Residential
Country
🇧🇷 Brazil
City
Limeira
ISP
Desktop Sigmanet Comunicação Multimídia SA
Organization
Desktop Sigmanet Comunicação Multimídia SA
Autonomous System
AS28649 Desktop Sigmanet Comunicação Multimídia SA
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: pythonKnown bot/crawler User-Agent detected+40
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger medium hits: 1Medium-risk: admin panels, config files+10
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 83
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

2026-03-19 15:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: python (+40), Danger strong hits: 1 (+25), Danger medium hits: 1 (+10)
2026-03-19 15:00:05
Last malicious request observed
Total score reached: 83/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Desktop Sigmanet Comunicação Multimídia SA
AS28649 · 🇧🇷 Brazil
06

Recommendations

Actions taken & recommended

  • IP 179.125.246.245 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 179.125.246.245 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
ix.dnsbl.manitu.net
✓ Clean
dnsbl.sorbs.net
✓ Clean
bl.spamcop.net
✓ Clean
zen.spamhaus.org
✓ Clean
dnsbl-1.uceprotect.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

179.125.246.245 has been assigned a threat score of 83/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

The address 179.125.246.245 originates from Limeira, Brazil, operating on the network of Desktop Sigmanet Comunicação Multimídia SA. It was identified through automated analysis of incoming network traffic across monitored endpoints. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 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. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. Our records show 118 malicious IPs originating from Brazil, positioning it as a significant contributor to global threat activity. The score of 83/100 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 Brazil

173.245.211.6 (293)20.206.78.203 (283)20.197.194.128 (280)20.197.233.108 (280)20.226.83.230 (280)View all →

🏢 Same network: AS28649

179.125.161.50 (103)177.131.78.99 (103)45.175.112.156 (103)179.125.165.137 (103)177.131.74.103 (103)View all →
12

Security Intelligence

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

💡 Certificate Transparency Monitoring

Certificate Transparency logs record all publicly trusted TLS certificates. Monitoring these logs reveals unauthorized certificate issuance, phishing domain preparation, and shadow IT — providing early warning of attacks targeting an organizations domain.

🔍 Check Any IP Address

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