54.39.89.167📋 Copy

# IP INTELLIGENCE BRIEFING: 54.39.89.167/32

Classification: Moderate Risk | Risk Score: 40/100

Date: [Current Date] | Analyst: IPDebrief Intelligence

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## EXECUTIVE SUMMARY

IP address 54.39.89.167 is assigned to OVH hosting infrastructure under organization Ahrefs Pte Ltd. The IP is classified as a hosting environment with no active open ports or detected services. The address resolves to a reverse DNS hostname proxy-ca012-san167.ahrefs.net, indicating association with Ahrefs web infrastructure. While the IP shows moderate risk (40), the surrounding subnet (54.39.89.0/24) exhibits elevated abuse density with 81.25% classification and 208 threat siblings among 256 total addresses.

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## OWNERSHIP & NETWORK CLASSIFICATION

The IP belongs to OVH's customer block OVH-CUST-281059691. Ownership registration shows stability with no recent changes observed in the temporal analysis.

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## THREAT INDICATORS

No active threat indicators were detected. The IP does not appear in known malicious campaigns or threat feeds. One DNS blacklist listing was recorded, though overall blacklist count remains at zero.

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## NETWORK SERVICES & DNS

The IP functions as a proxy infrastructure node within the Ahrefs network. No web services or open ports were detected, suggesting the address may serve as a backend or management interface rather than a publicly accessible service.

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## OBSERVATION HISTORY (22 Observations)

Temporal analysis reveals 22 observations tracked since June 2026. Key observations include:

• June 28, 2026: Cloud hosting classification confirmed (OVH). Minimal operator score (0.087).
• June 20, 2026: Geolocation confirmed to Canada with 3000km accuracy radius.
• No significant threat persistence detected over the observation window.
• Ownership changes: 0.
• Threat observation count: 0.

The IP maintains consistent classification as cloud hosting infrastructure with stable geolocation to Canadian territory.

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## NEIGHBORHOOD ANALYSIS (54.39.89.0/24)

The /24 subnet demonstrates elevated abuse characteristics. Of 256 total addresses, 208 are classified as threats. Neighbor IP analysis shows 100 sampled neighbors with predominantly medium risk scores (40/100). This high-abuse environment suggests the subnet is actively used for hosting services that may include legitimate infrastructure alongside potentially misused addresses.

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## RELATIONSHIP GRAPH

Forty-nine relationships identified, primarily Same Network associations to OVH-CUST-281059691. The IP maintains infrastructure-level relationships with the broader Ahrefs hosting ecosystem, including associated hostnames, subnets, and organizational entities.

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## RECOMMENDED ACTIONS

Based on risk assessment, the following firewall rules are recommended:

iptables:

```bash

iptables -A INPUT -s 54.39.89.167 -j DROP

```

nftables:

```bash

nft add rule inet filter input ip saddr 54.39.89.167 drop

```

nginx:

```nginx

deny 54.39.89.167;

```

Cloudflare WAF:

```json

{

"description": "Block 54.39.89.167 — IPDebrief risk score 40",

"action": "block",

"filter": {"expression": "ip.src eq 54.39.89.167"}

}

```

AWS WAF:

```json

{

"Addresses": ["54.39.89.167/32"],

"Description": "IPDebrief risk 40"

}

```

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## ANALYST NOTES

This IP address presents moderate risk primarily due to high-abuse neighborhood characteristics rather than direct threat indicators. The absence of open ports and known threat indicators suggests the address may serve legitimate hosting purposes within Ahrefs infrastructure. However, the surrounding subnet's elevated abuse density warrants monitoring. The high-abuse classification (0.8125) and 208 threat siblings indicate this /24 block is frequently used for services that may be abused.

Risk Mitigation: Consider implementing rate limiting or connection throttling for traffic from this subnet if blocking is not operationally feasible. Monitor for any changes in service patterns or threat indicators associated with the Ahrefs infrastructure.

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*Report generated by IPDebrief Intelligence Platform*

This summary was generated by AI and may contain inaccuracies. Verify critical details independently.