HQ Drawing documents | Verify Accs KYC | Antiban 100% | PSD Templates

[Mustang Studio]

News of the Week – How 2026 Begins

▪ We open the year with global statistics and real-world metrics.

› What’s actually happening with fakes and verification:

→ deepfakes have grown by tens of times over the last two years 
→ deepfake-based attacks occur every few minutes 
→ 1 out of 20 identity checks already contains deepfake elements 
→ digital forgeries have overtaken physical ones for the first time 
→ bank statements and payment documents are forged most often 

▪ This means one thing:
platforms no longer judge by “how it looks”.
They analyze data logic, history, timing, and behavioral patterns.

⚠️ In 2026, “upload and see what happens” is no longer a strategy.
It’s a fast track to flags and blocks.

▪ Mustang Service works exactly with this:
we focus on what systems actually verify – not what merely looks sufficient.

› If you don’t want to become part of this statistic –
build the case before uploading, not after a rejection.

› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

#documentediting #verification #documents #KYC #antifraud

[Mustang Studio]

- Weekly News | Deepfake Fraud Goes Beyond KYC

2026 starts with a disturbing trend: 
deepfakes are no longer just about documents — now they are about access and people.

- What companies are already seeing:
• online interviews attended by fake candidates using deepfake faces and voices 
• these “employees” gain access to internal systems 
• next come data leaks, financial losses, or insider attack preparation 

⚠️ According to analysts:
• the number of deepfakes online grew from 500K to ~8M in just two years 
• AI fraud and phishing may cause tens of billions in losses 
• in 2026, a rise of Fraud-as-a-Service is expected: voice, video, and impersonation of “CEOs” or support staff offered by subscription 

- Key takeaway 
Today, systems no longer verify just a file or a face. 
They verify behavior, logic, history, and access patterns.

- Mustang Service works exactly at this level: 
we analyze cases the way systems see them — not the way humans do.

✈️ If you don’t want to become part of the statistics — 
it’s better to build protection and logic before the first step, not after an incident.

› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

#rendering #verification #documents #KYC #antifraud

[Mustang Studio]

9 out of 10 edits fail KYC. And it’s not about a “pretty image”

▪ Mustang Service – when approval matters more than blind testing.

› We work with what systems actually check:

→ passing anti-fraud checkers: Onfido, Veriff, Sumsub, etc. 
→ German-grade studio equipment 
→ two-stage control + metadata cleaning before submission 
→ ELA analysis bypass 
→ data structure and logical consistency 

▪ While this post is still live – a private bonus is available.

› Message us – we’ll break down your case.

› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

#documents #kyc #photoshop #editing #graphics

[Mustang Studio]

“CLEAN” ACCOUNT IS THE MOST SUSPICIOUS ONE

Paradox of anti-fraud systems:
the “more perfect” the account looks — the faster it gets flagged.

Why does this happen?

❌ no digital history
❌ no behavioral footprint
❌ no logical progression
❌ looks like an object, not a human

For KYC systems this is not a plus — it's **emptiness**.
And emptiness is one of the strongest risk triggers.

Algorithms don't look for beauty,
they look for **context, timing, and action consistency**.

? Mustang Service works exactly with this —
we build real logic, not just a pretty showcase.

✈️ Want to look alive instead of suspiciously perfect?
Drop us a message. Better now than after a ban.


› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )


#KYC #antifraud #verification #accounts #rendering

[Mustang Studio]

Back to Full Operating Mode

▪ As of January 16, Mustang Service is back to its regular workflow.

› What this means:
→ we accept both standard and complex cases 
→ turnaround times are back to normal 
→ no holiday-related limitations 

▪ If you postponed a task “until after the holidays” — now is the right time to get back to it.

✈️ Message us — we’ll review your case and suggest the optimal way forward.

› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

#drawing #verification #documents #KYC #backtowork

[Mustang Studio]

Redraw is engineering, not design

▪ In 2026, accounts aren’t cut for pixels or neat visuals.
They’re cut for data logic, timing, and pipeline mistakes.

We work with systems, not just images:

→ structured preparation pipelines
→ control of critical points where cases usually fail
→ responsibility for data read by antifraud systems, not “visual appeal”

KYC doesn’t judge taste.
ELA doesn’t care about “looking good”.
Algorithms analyze how everything is built and connected.

▪ That’s why we don’t “draw”. We assemble results
that withstand checks, not just a first glance.

If you need design – that’s not us.
If you need approval – we’ll break down the task and risk points.

› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

#redraw #verification #documents #antifraud #KYC

[Mustang Studio]

News of the week – Mustang Service

▪ South Korea, December 2025.
A 20-year-old man was sentenced to 2 years in prison for insurance fraud involving the use of ChatGPT.

What happened:

→ photographed real medical certificates from a clinic in Busan
→ uploaded them to ChatGPT
→ asked to “extend” the treatment period
→ the AI generated documents indicating inpatient treatment (fainting, dizziness)
→ submitted 11 insurance claims over one year
→ total damage – 150 million won (~$110,000)

Why this matters:

This is the first recorded court case where an LLM was used not as a one-off tool,
but as an instrument of a systematic document fraud scheme.
Checkers are now focusing not only on visuals,
but on data logic, timing, and pattern repetition.

▪ The conclusion is simple: “AI-made” ≠ success.

› Weekly offer:
Until the end of today – –10% on assistance with verification.

✈️ Message us – we’ll break down the case and assess the risks.

› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

#news #KYC #antifraud #documents #verification #offer

[Mustang Studio]

Does PDF kill approvals? Does JPG save them? And is a “scan” a mine?

▪ File format is not a detail. It’s a trigger.

› When PDF increases risk
PDF often contains service layers, build history, and template patterns.
For checkers, this is a reason to dig deeper.

› Why a “scan” ≠ a photo
A scan has a device profile, specific noise, and geometry.
Inconsistencies are detected faster than you think.

› Format as a trigger for additional checks
The same visual in PDF, JPG, and a “scan” can lead to different outcomes.
Format is part of the file’s story – and systems analyze it.

▪ The main mistake is choosing a format “by eye”.
▪ The working approach is choosing by platform, scenario, and case context.

› Want to know which format is safer for your exact task?
Type **FORMAT** – we’ll advise before it ends in a rejection.

› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

#rendering #verification #documents #formats #antifraud #MustangService

[Mustang Studio]

LIVE VERIFICATION? SUMSUB? “IMPOSSIBLE”?

▪ Spoiler: it is possible — if you know who to work with.

A client came in with a task to pass **live verification** on **WantToPay**, a Telegram virtual card service.
On the platform side — **Sumsub**: liveness check, SMS, manual review.
“Fast” and “by eye” simply don’t work here.

› What was done:

→ analyzed the verification scenario and Sumsub requirements
→ built the correct flow: phone number, email, timing
→ **completed live verification remotely, without account handover**
→ handled SMS and confirmation codes
→ brought the process to final approval

▪ Result:

→ verification passed
→ access granted
→ no flags or repeat requests

▪ Live verification is not luck.
It’s scenario-based preparation — not hope.

› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

*All data is published with the client’s consent.*
#verification #sumsub #livecheck #kyc #case

[Mustang Studio]

Your MRZ is “perfect”? Don’t make my KYC laugh

The document may look flawless – 
but it breaks in the MRZ. Quietly. Instantly. Without explanations.

▪ Where things most often go wrong:

→ Check digits 
One checksum error – and the file gets flagged, even if the visual looks “store-ready”.

→ MRZ ≠ visual zone 
Date, number, name may match “by eye”, but not by ICAO logic. 
The algorithm spots this faster than any human.

→ Temporal and regional mismatches 
Date formats, country codes, field order – a trifle for the client, a trigger for the system.

▪ The result: a “perfect” document fails not because of the image, 
but because of the line almost no one reads.

▪ Want to know exactly where your MRZ cracks – before rejection, not after? 
Send **MRZ**. We’ll analyze and fix it before the system does it for you.

Contact us
› TG: @mustang_service ( https:// t.me/ mustang_service )
› Channel: Mustang Service ( https:// t.me/ +6RAKokIn5ItmYjEx )

#verification #KYC #MRZ #documents #antifraud