Unmasking Digital Ghosts: IPinfo and Splunk Tackle Elusive Proxy Threats

SEATTLE, WA – May 19, 2026 – A significant new capability has been added to the cybersecurity arsenal, targeting one of the most evasive threats on the modern internet. IPinfo, an internet data company, announced an enhancement to its Splunk integration, introducing high-fidelity residential proxy detection directly into the widely used security platform. This move equips security teams with a powerful new tool to unmask malicious actors who disguise their activities behind the facade of legitimate residential internet traffic.

The Growing Shadow of Residential Proxies

Residential proxies have become a cornerstone of modern cybercrime, allowing attackers to operate with a cloak of invisibility. Unlike traditional proxies or VPNs that use datacenter IP addresses, residential proxies route malicious traffic through the internet connections of everyday consumers—often without their knowledge. This traffic, originating from real home networks, becomes nearly indistinguishable from that of legitimate users, rendering many conventional security measures, such as IP blocklists, obsolete.

The scale of this problem is staggering. Recent reports indicate that 25% of all malicious bot traffic now originates from residential ISPs, a figure that has grown consistently for six consecutive years. The residential proxy market itself is expanding at an estimated 42% annually, fueled by demand from threat actors engaged in a wide range of illicit activities.

These include automated account takeovers, large-scale credential stuffing attacks, ad fraud, and bypassing geo-restrictions to scalp limited-edition goods. The technique is particularly insidious because the IP addresses are churned rapidly, often used only once or twice before being rotated, preventing reputation-based systems from ever catching up. This leaves an estimated 84% of businesses exposed and unable to detect bots leveraging these sophisticated networks.

A New Paradigm: Detection Through Direct Observation

In response to this challenge, IPinfo has developed a detection methodology that moves beyond traditional inference. Instead of trying to guess if an IP is a proxy based on secondary characteristics, the company employs a "measurement-first" approach built on direct observation. Its proprietary platform, ProbeNet, actively participates in over 110 commercial residential proxy networks. By becoming a customer of these networks, IPinfo can directly observe and measure which IP addresses are being used to route proxy traffic.

This method provides a high-confidence signal that is not based on heuristics or potentially flawed assumptions. "Residential proxies have transformed how internet traffic appears,” said Ben Dowling, Co-Founder and Co-CEO of IPinfo, in the announcement. “They’re also notoriously hard to detect using legacy IP data methods. Our approach is to observe these networks directly and continuously. By bringing that data into Splunk, we’re giving security teams a signal they can trust, one that reflects how traffic actually behaves and can be built directly into their detection logic.”

This approach also provides crucial context beyond a simple binary classification. Security analysts receive data points like “last seen,” which indicates how recently an IP was active in a proxy network, and “percentage of days observed,” which shows its persistence. This allows for more nuanced risk scoring, differentiating a briefly used IP from a consistently abused one.

Empowering Security Operations Within Splunk

The true value of this advanced intelligence lies in its seamless integration into existing security workflows. By embedding residential proxy detection directly within Splunk Enterprise, Splunk Cloud, and Splunk Enterprise Security (ES), IPinfo allows Security Operations Centers (SOCs) to act on this data without context switching. When an IP address appears in logs—whether from an authentication attempt, network traffic, or an application event—the IPinfo app enriches it in real-time.

This enriches alerts with actionable context, allowing for more effective automated triage. For example, a login attempt from a known residential proxy IP can be automatically flagged for higher scrutiny or challenged with multi-factor authentication, helping to thwart account takeovers. For detection engineers, these high-fidelity signals are invaluable for building and refining rules that reduce false positives. Instead of broadly blocking entire IP ranges, which can impact legitimate users, they can create precise rules based on the confirmed proxy status and risk context provided by IPinfo.

The integration is designed for scale, offering both real-time API lookups for immediate investigations and high-volume local MMDB database lookups that can process millions of events at Splunk-native speeds, ensuring performance is not a bottleneck.

The Evolving Arms Race in Cyber Defense

The introduction of this tool highlights a critical trend in cybersecurity: a continuous arms race between attackers and defenders. As security tools improve, adversaries pivot to more sophisticated and evasive techniques. The rise of residential proxies is a direct response to the effectiveness of earlier IP-based blocking and reputation systems.

The next frontier is already visible, with threat actors beginning to leverage Artificial Intelligence to augment their attacks, from generating convincing phishing lures to automating vulnerability discovery. This places an even greater premium on foundational, high-confidence intelligence. As SIEM platforms and security data lakes ingest ever-increasing volumes of data, the ability to quickly and accurately contextualize that data becomes paramount.

Integrating precise IP intelligence directly into these platforms is essential for cutting through the noise, enabling automated responses, and allowing human analysts to focus on the most complex and novel threats. By addressing the residential proxy challenge head-on, the partnership between IPinfo and Splunk represents a crucial adaptation, strengthening defenses against the current landscape of sophisticated attacks while laying the groundwork for confronting the AI-driven threats of tomorrow.