ABUSE.MOM
THREAT REPORT

IP Threat Report
177.95.29.211

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 13:52:01
First seen: 2026-03-12 05:00:08
Last seen: 2026-03-12 05:00:08
103

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 103/100. Total malicious requests observed: 2.

DANGER_PATHMETHOD
01

Geolocation & Classification

IP Address
177.95.29.211
Type
Residential
Country
🇧🇷 Brazil
City
Biguaçu
ISP
Vivo
Organization
TELEF�NICA BRASIL S.A
Autonomous System
AS27699 TELEFÔNICA BRASIL S.A
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger medium hits: 2Medium-risk: admin panels, config files+20
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 103
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

2026-03-12 05:00:08
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 3 (+75), Danger medium hits: 2 (+20), POST requests present (+8)
2026-03-12 05:00:08
Last malicious request observed
Total score reached: 103/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Vivo
AS27699 · 🇧🇷 Brazil
06

Recommendations

Actions taken & recommended

  • IP 177.95.29.211 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 177.95.29.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

⚙️ General Security

Add 177.95.29.211 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.

07

Neighbors in 177.95.29.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

09

Blacklist Status (DNSBL)

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

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

177.95.29.211 has been assigned a threat score of 103/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

📊 Threat Analysis

Network traffic from 177.95.29.211, located in Biguaçu, Brazil, operating on the network of Vivo, has been classified as malicious by our automated threat scoring engine. The address has been active for 1 days in our monitoring system, producing 2 flagged requests at a rate of ~2/day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. With 151 flagged addresses, Brazil represents a significant presence in our threat database. A score of 103/100 places this address in the top tier of severity. Block and investigate any historical connections.

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: AS27699

187.101.62.172 (208)191.205.5.230 (103)179.98.94.241 (103)189.18.118.95 (103)201.26.51.125 (103)View all →
12

Security Intelligence

💡 Brute Force Attack Mechanics

Brute force attacks systematically try username and password combinations to gain unauthorized access. Modern attacks leverage credential databases from previous breaches, testing millions of combinations using distributed botnets across multiple IP addresses.

💡 False Positive Management

False positives erode trust in security systems and waste analyst resources. Effective management requires feedback loops, allowlisting mechanisms, contextual analysis, and regular tuning of detection rules based on operational experience.

🔍 Check Any IP Address

Share this report: