Two Dripify test accounts got 209.20.164.x cloud sessions rated 94/100 by an IP-quality service, same Windows Chrome fingerprint.
Verdict up front: Dripify removes the browser-extension surface, but adds a high-signal cloud-session surface. In my June 2026 two-account test from France, Dripify logged both LinkedIn accounts in from datacenter exit IPs in the same 209.20.164.x /24, same HostRoyale ASN, and the same "Chrome on Windows 10" fingerprint. IPQualityScore (IPQS), an independent fraud-prevention service with 10+ years on the market that rates IPs from its own honeypot and crawler network on a 0-100 scale, scored both IPs 94/100 fraud and proxy/VPN flagged; IPQS's own examples treat >=75 as high-risk. That is an outside IP-quality signal, not LinkedIn's enforcement verdict, and it means restriction risk, not an instant restriction.
What Dripify Actually Is
Dripify is Type 3 - cloud with credential login. You do not install a LinkedIn browser extension. You enter your LinkedIn email and password into Dripify, Dripify's cloud logs in, and your campaigns run from that vendor session.
I checked for a public LinkedIn extension on 2026-06-08 across the vendor help center and Chrome Web Store. I found none. That matters because the extension-specific scanner surface is absent.
AED is the label visible in LinkedIn's own production JavaScript as AedEvent, not an official LinkedIn feature name and not a researcher coinage. BrowserGate, an independent Dec 2025-2026 investigation that took apart LinkedIn's production bundle, documented that LinkedIn probes a hardcoded extension-ID list on every page visit. That list grew from 38 entries in 2017 to 6,167 as of February 2026, adding roughly a dozen per day. LinkedIn has never publicly acknowledged the system.
What this means for detection: no extension means no AED extension-ID hit and no Spectroscopy hit against a Dripify extension artifact. The surface moves to the cloud session: IP and geolocation, parallel sessions, fingerprint, timezone, and request map. Smaller in one dimension is not immunity.
Where The Session Goes
I used two fresh LinkedIn test accounts from the same geography, France, in June 2026. Before connecting Dripify, account 1 had exactly one LinkedIn active session: my own Paris session, IP 185.193.89.103.
What this means for detection: this baseline is inert by itself. It gives the before state, so the second session that appears later can be attributed to Dripify.
Step 1 - Credentials Go Into Dripify
Dripify's onboarding page asked for the raw LinkedIn email and password. The page copy said:
"Your LinkedIn credentials are encrypted and required to perform automated actions in the background"
What this means for detection: nothing independent reaches LinkedIn yet. The cost here is custody: the vendor now holds working LinkedIn credentials. Dripify also says the credentials are "encrypted" and that it has no "direct access and control over your LinkedIn account"; that is a vendor claim about cloud-side handling, not something I can verify from outside.
Step 2 - The Login Runs Server-Side
After I submitted the credentials, Dripify showed:
"Please wait while we set things up for you! Hold on while we verify your account..."
What this means for detection: this is the IP, geolocation, and parallel-session vector firing. A fresh credential login resembles something a human can do, which is why this architecture is less extreme than cookie replay, but the login still arrives from a machine, IP, and environment LinkedIn has not associated with the account before.
Step 3 - LinkedIn Challenges The New Location
LinkedIn itself challenged the login, and Dripify relayed the PIN through its own UI. The Dripify screen said:
"As you have logged into LinkedIn from a new location, LinkedIn will send a security pin to your email address to validate your login access"
What this means for detection: this step is the evidence. LinkedIn's own security system flagged the cloud login as a new location in real time, and the vendor sat in the middle of the security challenge. That is an observed IP/geolocation signal, not a theory.
Step 4 - A Second LinkedIn Session Appears
After connection, LinkedIn's active-sessions page for account 1 showed two sessions: my original session, plus an "Other active sessions" entry for "Chrome on Windows 10," IP 209.20.164.225, owner label "Infinity Internet Inc.", Paris approximate location.
Account 2 showed the same shape: a second "Chrome on Windows 10" session, IP 209.20.164.94, owner label "Infinity Internet Inc.", Paris approximate location.
What this means for detection: there are three adjacent signals here. First, parallel access: the account now has your normal session plus a vendor-cloud session. Second, fingerprint: both unrelated accounts got the same "Chrome on Windows 10" environment, which is not my machine. Third, timezone: Dripify exposes a timezone setting, but the actual timezone LinkedIn sees from the cloud is not externally visible, so any mismatch would be another scoring input rather than something I can prove from the outside.
This is exactly why Dripify's own warning page matters. On dripify.com/linkedin-warning, the vendor lists "unusual login locations" among LinkedIn warning triggers and tells users: "Do Not Use LinkedIn While Dripify Is Working." That is not an accidental side note. The product's normal operation is a second login from an unfamiliar datacenter machine, and the vendor's advice is to avoid adding your own simultaneous activity on top of it.
The IP Result
The raw IP table was:
| Measured field | Account 1 | Account 2 |
|---|---|---|
| Exit IP on LinkedIn sessions page | 209.20.164.225 |
209.20.164.94 |
IPQS fraud_score
|
94 | 94 |
IPQS proxy / vpn / active_vpn
|
Yes / Yes / Yes | Yes / Yes / Yes |
IPQS tor
|
No | No |
IPQS recent_abuse / abuse_velocity
|
No / low | No / low |
IPQS connection_type
|
Data Center | Data Center |
| IPQS ISP / organization | HostRoyale Technologies Pvt | HostRoyale Technologies Pvt |
| ASN | 203020 | 203020 |
| IPQS geo | France, Ile-de-France, Paris | France, Ile-de-France, Paris |
| LinkedIn-displayed fingerprint | "Chrome on Windows 10" | "Chrome on Windows 10" |
What this means for detection: both accounts got different IPs, but both were in the same 209.20.164.x /24, on the same ISP, with the same fingerprint. The IP reputation signal is live-observed. The clustering consequence - many unrelated accounts looking related because they share a subnet/provider/template environment - is inferred from the two-account observation and from the infrastructure pattern, not a claim that I watched LinkedIn cluster them.
There are also two labels for the same IPs, and I am keeping them separate. LinkedIn's active-sessions page labeled the IP owner "Infinity Internet Inc." IPQS attributed the ISP/organization to "HostRoyale Technologies Pvt" on ASN 203020. Different databases, different labels; silently merging them would make the evidence look cleaner than it is.
What this means for detection: the label mismatch is not a new signal. It is a provenance finding: LinkedIn and IPQS expose different database labels for the same cloud address, so each attribution has to stay tied to its own source.
The onboarding controls were also part of the test: no location choice, no option to add my own proxy, no built-in proxy-quality checker, timezone setting yes, 7-day trial, no card.
What this means for detection: the missing controls do not create a detection vector by themselves. They mean the user cannot inspect or repair the IP/geolocation vector Dripify creates. Linked Helper's security study - a deep study of LinkedIn automation safety using static code audits of 16 extensions plus live two-account tests of 7 cloud tools - found the same cloud-table problem: no vendor checks the IP it hands you.
That same study also found HostRoyale ASN 203020 under Skylead and We-Connect. The logo differs; the servers do not. That cross-vendor shared-infrastructure finding comes from Linked Helper's security study, not from my two Dripify accounts alone.
What this means for detection: shared infrastructure is an account-clustering input. A provider-level reputation issue can touch otherwise separate brands and customers at once, which is why the ASN matters beyond one IP lookup.
One thing I could not observe: what Dripify's cloud does after login. API-direct operation is highly likely for this architecture, but it remains an expert estimate, not an observed Dripify trace. What this means for detection: if the cloud uses API-direct behavior, the relevant mechanism would be the request-map vector: API access without the surrounding page traffic a real browsing session produces. BrowserGate also documented LinkedIn's encrypted fingerprint header in real sessions' API requests. For this Dripify test, I can say the session existed and what it looked like from LinkedIn's sessions page; I cannot quote Dripify's server internals.
The Full Findings
| Finding | Detection vector in plain words | How I know |
|---|---|---|
| Both test accounts got datacenter exit IPs scored IPQS 94/100, proxy/VPN flagged | IP reputation and geolocation signals | Live test |
The two accounts landed in the same 209.20.164.x /24, same ISP; the same HostRoyale ASN also carries Skylead and We-Connect in the broader study |
Account clustering and shared-infrastructure exposure | Live test for Dripify IPs; Linked Helper's security study for cross-vendor overlap |
| LinkedIn challenged the login as a new location and Dripify relayed the PIN | New-location security trigger | Live test |
| LinkedIn showed a second concurrent "Chrome on Windows 10" session from the vendor IP | Parallel access: you plus the cloud | Live test |
| Both unrelated accounts had the identical "Chrome on Windows 10" cloud fingerprint | Template fingerprint; clustering consequence is inferred | Live test for the fingerprint; inferred from the architecture, not observed for enforcement |
| No location choice, no own-proxy support, no proxy-quality checker | Absence of controls around the IP signal | Live test |
| API-direct behavior after login is highly likely but not visible from outside | Request-map anomaly if the cloud hits API endpoints without normal page traffic | Inferred from the architecture, not observed |
| Dripify ships no public LinkedIn extension, checked 2026-06-08 | AED and Spectroscopy do not apply; surface moves to the cloud session | First-hand check (negative finding) |
User Reports Fit The Same Shape
r/LinkedInTips, 2026-03-23, score 2:
"I was using dripify a long time ago (linkedin automation tool) and was aggressive with it and got my account banned. Initially they locked the account and said that I would need to verify via face id, they scanned my face and permanently blocked my account."
The useful detail is the ladder: lock, face-ID verification, permanent block. The user also says they were aggressive, so I would not pin the outcome on infrastructure alone. Behavior can amplify the same signals.
G2, 1.0 star, 2022-08-17:
"This tool got my account banned in its first month of use with default settings and workflow."
"Default settings" is the part that earns the quote a place here. It challenges the easy defense that only bad configuration creates restriction risk.
G2, 4.5 stars, 2024-03-12:
"My LinkedIn account has been notified due to suspecious activity even though I selected the option of 'limit contact'."
The misspelling is preserved. The mechanism point is stronger than the grammar point: a volume limiter governs behavior, but it does not change the cloud IP, second session, or template fingerprint.
Trustpilot, 2.0 stars, 2025-10-16:
"Linkedin has gotten too smart about these tools and it won't let me login, gives me too many puzzles to solve or two factor logins"
That symptom list maps to the same login-security stack I watched fire during setup: new-location verification first, then harder challenges for accounts that keep scoring badly.
Counter-voice - Trustpilot, 5.0 stars, 2025-08-05:
"First LinkedIn automation tool that hasn't gotten me flagged (knock on wood)."
The balance matters. Some users do report clean runs. The phrase "knock on wood" also concedes the point: not being flagged yet does not erase the documented signals. It means the scoring model has not crossed that user's threshold.
How I Read The Risk
This is a scoring model, not a tripwire. A flagged datacenter IP, a shared /24, a second session, a template fingerprint, a timezone mismatch, and request-map anomalies each add points. None means "instant restriction" by itself.
The no-extension design cuts both ways. It is a real reduction because there is no Dripify extension for AED or Spectroscopy to see. It is not immunity because the LinkedIn session lives on someone else's infrastructure.
Cloud internals stay "highly likely" where I could not observe them. I observed the login flow, the PIN relay, the LinkedIn session entries, the IPQS results, and the onboarding controls. I did not observe Dripify's server code or its post-login request stream.
The findings are test-date-specific: June 2026, France, two fresh test accounts. Vendors can change infrastructure. Architecture class alone does not fix the number either; Linked Helper's security study found that Meet Alfred got clean IPs in its test. "Every cloud tool does this" would be too broad.
And no tool is unbannable, including Linked Helper. LinkedIn's behavioral layer still judges volume, acceptance rate, timing, and account quality for humans and tools alike.
FAQ
Is Dripify safe to use on LinkedIn?
No tool removes restriction risk. In my June 2026 test, Dripify avoided the extension-scanning surface, but created measurable cloud-session signals: datacenter IPs scored IPQS 94/100, same /24, same ISP, identical "Chrome on Windows 10" fingerprint, and a LinkedIn new-location challenge during setup.
Does Dripify get you banned on LinkedIn?
Not deterministically. LinkedIn scores signals and escalates. Users report both clean use and restrictions, including reports with default settings or despite volume limits. The infrastructure signals I measured exist before campaign volume enters the picture.
Does Dripify violate LinkedIn's terms?
LinkedIn's User Agreement prohibits third-party automation software. Using Dripify, like using any LinkedIn automation tool, carries terms and restriction risk. Dripify's own pages acknowledge warning triggers and publish avoidance rules.
What is Dripify and how does it work?
Dripify is a cloud LinkedIn automation platform. You enter your LinkedIn email and password, its servers log in as you, LinkedIn's security PIN can be relayed through Dripify's UI, and campaigns run from Dripify's infrastructure. No browser extension is installed locally.
How much is Dripify per month?
From about $39/month billed annually, or about $59 month-to-month, per account. I observed a 7-day free trial with no credit card during the June 2026 sign-up flow.
Does Dripify collect user data?
By design it receives your LinkedIn email and password, relays the LinkedIn security PIN during verification, and processes campaign, contact, and inbox data on its servers. Dripify says credentials are encrypted and that it has no direct access and control over the account; from outside, that remains a vendor claim.
Is Dripify legit?
Yes, it is a real established product — a 4-star Trustpilot rating across roughly 490 reviews at the time of research — with genuinely satisfied users. "Legit" and "risk-free" are different questions. The session, IP, and fingerprint findings above stand independently of whether the company is real.
Dripify's pacing and activity-control UX is genuinely praised, and limits do matter for the behavioral layer. They do not change the infrastructure layer. Users can still report flags despite a limiter because a limiter does not choose the IP, erase the second session, or make a cloud fingerprint become your real machine.
The architectural gap-pairs are straightforward. A desktop app like Linked Helper works from your own IP and browser fingerprint instead of a vendor datacenter IP. Each account can keep a unique fingerprint, rather than two unrelated accounts sharing the same template. Login happens locally, so there is no credential handover or LinkedIn security PIN relay through a vendor cloud. You can use a built-in proxy checker and choose the IP/location yourself. The working session is yours, not a second concurrent vendor session you have to avoid colliding with. And if the objection is 24/7 operation, a VPS plus Web Version gives cloud-equivalent uptime without handing the session to a vendor.
No tool is unbannable, including Linked Helper - the surface is just smaller. The broader comparison is in Linked Helper's security study, framed there as a study of 16 extension audits and 7 cloud-tool live tests.
Full first-hand test log and screenshots: https://safe-outreach.com/is-dripify-safe
Top comments (1)
It is 99 in IP2Location Fraud Score.
ip2location.com/209.20.164.225