For carriers
Bad calls signed with your token become a KYC and TCPA exposure. Mislabeled enterprise traffic routes complaints — and the support load — back to you.
Evidence, not theory
The evidence is real.
Everything on this page is captured by VoiceAlerts' own production systems against live U.S. voice traffic — not samples, not simulations. Brand and number identifiers are redacted here; the full detail goes only to the carrier, enterprise, or partner it concerns.
The scale
What we see, in numbers.
Two views of the same production data: what lands in a single day, and what accumulates across a typical 30‑day window. Every figure is captured against live U.S. voice traffic.
Captured daily
2.0M+
Captures processed
450K
Unique ANIs tracked
50+
Brands flagged
1.0M+
Robocalls intercepted
Across a 30-day window
50M+
Captures processed
10M+
Unique ANIs tracked
200+
Brands flagged
25M+
Robocalls intercepted
01 · Brand & Number Monitoring
Real brands, weaponized against real people.
Major U.S. financial, retail, and healthcare brands are spoofed and used to attack consumers — often the carrier's own subscribers. For every event we surface the originating ANI, the STIR attestation, the spoofed brand, the target volume, and the time. None of it is theoretical.
When an impersonated brand finds out, the first call goes to the carrier. When consumers file federal and state complaints, those route back to the carrier too. We give both sides the data — before the regulator does.
- Originating ANI and STIR attestation
- The spoofed brand identity
- Target call volume and timestamp
- Classification: robocall, sales, callback
Top Brands · Impersonated
30-day window
Major Search Engine
1.2M
National Retailer
880K
Federal Health Program
760K
National Pharmacy Chain
610K
Regional Telecom Provider
540K
Federal Benefits Office
470K
02 · Brand & Number Monitoring
The number on the screen isn't who's calling.
Number spoofing is the mechanism underneath most of what we capture — a call displays a number the originator isn't authorized to use. We compare the displayed number against the true originating ANI and flag the mismatch at the source.
A spoofed number can belong to a Fortune‑500 brand, a federal office, or one of your own subscribers. The displayed identity is borrowed; the true origin is usually a reseller route or an international gateway. We see both.
- Displayed number vs. true originating ANI
- Authorized-use verification
- Spoof-match rate by route
- Repeat-offender origin patterns
Displayed vs. True Origin
Redacted
03 · Compliance & Identity
Call Attestation Monitoring: who really signed the call.
Every signed call carries a STIR/SHAKEN attestation level from the originating provider. We monitor the live distribution of A, B, C, and None — because a drift toward C and unsigned traffic is exactly where spoofing and bad-actor calls hide.
Attestation is the carrier-side trust signal. A means the provider authenticated the caller and verified their right to use the number. B authenticates the caller but not the number. C only knows where the call was handed off. None isn't signed at all.
- A / B / C / None distribution, live
- Attestation by originating provider (aggregate)
- Drift toward C and None that signals risk
- Correlation to STIR token health
SHAKEN Attestation Mix
Live sample
04 · Number Remediation
Why legitimate calls get blocked — and stay blocked.
A clean enterprise number gets flagged once and answer rates collapse. The reputation damage outlasts the cause by weeks. We track the score over time and the label applied, so the path back is measurable.
Three things drag a number down: a brief spoofing event, prior-use contamination inherited from a reissued number, or labeler over-correction with no formal appeal. The outcome is the same — blocked customer contact and missed revenue the enterprise blames on the carrier.
- Reputation score over time
- The label applied (Scam Likely / Spam Risk)
- Likely cause: spoofing, prior-use, over-correction
- Answer-rate impact
Reputation Impact · 603 SIP
After spoof event
05 · Compliance & Identity
Disconnected numbers turn inventory into early warning.
Repeated dial-ins to disconnected numbers are one of the strongest signals labelers and carriers use to flag a TN as a robocaller. We capture that pattern in real time — the originating TN, the attempt count, and the time-of-day rhythm — before a number's reputation collapses.
Once a number starts hammering dead DIDs, it's days away from being blocked. Catching the originating pattern early is the difference between remediating a number and losing it. It's also how we surface bad-actor TNs before consumers are victimized.
- Repeat dial-ins to disconnected DIDs
- Originating TN and attempt count
- Time-of-day pattern
- Correlation to reputation collapse
Repeat Dial-ins · Disconnected DIDs
Last 24 hours
VoIP reseller cluster
41K
International gateway
28K
Unregistered SP
19K
Recycled TN block
12K
Unknown origin
7K
Methodology
How we capture it.
The credibility of every number on this page comes from where it's captured and how it's handled.
1
Live capture
Our production systems sit inside live U.S. voice traffic, capturing real fraud as it happens — not samples, not simulations.
2
Enrich & attest
Every capture is tied to an originating ANI, a STIR/SHAKEN attestation, a classification, and a timestamp — so the signal is specific and defensible.
3
Redact & share
Identifiers are redacted for anything public. Full detail goes only to the carrier, enterprise, or partner the event concerns.
Why it matters
Every captured event is somebody's exposure.
The same signal lands differently depending on where you sit in the voice ecosystem — but it always lands.
For enterprises
Impersonation damages your brand whether or not you placed the call, and mislabeling blocks the legitimate calls your business depends on.
For consumers
The person on the other end is somebody's parent or grandparent. Every captured event is a chance to stop a scam before it reaches them.
Get started
See this data against your own traffic.
Book a briefing and we'll run live captures from our production systems against the numbers and traffic you care about — nothing theoretical.
Get started
Turn the evidence into a plan.
Book a 30‑minute briefing. We'll show you live captures — impersonation, spoofing, attestation drift, and labeling damage — tied to the traffic and numbers you care about.
- Live captures against your traffic, not a canned demo
- Attestation, spoofing, and reputation in one view
- A clear path from evidence to remediation
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