logologo
  • How it works
  • Why It Matters
  • Statistics
  • Pricing
  • API
logologo
  • How it works
  • Why It Matters
  • Statistics
  • Pricing
  • API
HTPBE?

Structural PDF tamper detection API. Catches edits your KYC stack misses.

Product

  • How It Works
  • Why It Matters
  • Use Cases
  • Pricing

Developers

  • API Reference
  • GitHub/docs
  • Changelogv2.23.1

Resources

  • FAQ
  • Blog
  • Comparisons
  • Legal & Imprint

© 2024–2026 TMI Iurii Rogulia · VAT ID: FI29845875 · Made in Finland 🇫🇮

Status

Algorithm v2.23.1

Tool profile

Affinity

Affinity appears on both legitimate first-generation output and downstream re-save flows — context (the other tool on the same document) is what flips the signal.

Back to all statistics
Forensic verdict

Mixed signal

Based on 3 appearances across the HTPBE? corpus.

Modification rate
0%-48pp below baseline
Corpus baseline: 48%
Total appearances
3
0.10% of corpus
Modification rate
0%
-48pp below baseline
Role split
100%C/0%P
Creator vs Producer share of appearances

Corpus profile

How Affinity shows up in HTPBE? corpus

Affinity (Publisher / Designer / Photo) is a desktop design suite; its PDF export rebuilds the document from Affinity’s composition.

Contextual signal: producer/creator mismatch when Affinity is the latest Producer on an institutional-Creator document.

The signal
Contextual signal: producer/creator mismatch when Affinity is the latest Producer on an institutional-Creator document.

Role in the workflow

How Affinity shows up in metadata

Every PDF carries a Creator (the application that produced the original document) and a Producer (the engine that wrote the PDF). The same tool can appear in either slot, with very different modification profiles.

CAs Creator · 100%
As Producer · 0%P
CAs Creator
  • Usage
    3
  • Modification rate
    0%
  • Avg file size
    221 KB
PAs Producer
  • Usage
    0
  • Modification rate
    0%

How to read this

The Creator slot typically reflects where a document started life. The Producer slot reflects whatever wrote the bytes — and is the field that gets overwritten when a PDF is opened, edited, and saved by a downstream tool.

A higher modification rate as Producer than as Creator usually means the tool is acting as a re-saver on documents that originated elsewhere. A higher rate as Creator points to fragile workflows around the original authoring app.

Name fingerprints

Also goes by

Different version strings and spellings observed for Affinity in the wild. All are merged into the same canonical profile.

Affinity 3.0.366.7%
Affinity 3.1.033.3%

Why variants matter

The same tool publishes itself under 2 different metadata strings — version bumps, locale tags, build IDs. We canonicalize them so the corpus reflects one identity, not noise.

Most common
Affinity 3.0.3
66.7% of appearances
Variant spread
2 distinct strings
Long-tail share: 33.3%
Observed range
7 Apr 2026 → 14 Apr 2026

Related profiles

Tools you’ll see next to Affinity

Other tools that frequently share metadata with Affinity in the same documents. Each card links to its own forensic profile.

P100% co-occurrence
PDFlib
Appearances287
Mod rate10%

Long tail

Notable observations

Smaller cuts of the Affinity corpus — useful context, but treat each row as a single data point rather than a strong signal.

Pages parsed
5
Oldest observed
7 Apr 2026 — about 2 months ago

Secure your workflow

Create your account — API key on signup, free test environment on every plan.
From $15/mo. No sales call. Cancel any time.

Start free — close the structural fraud gapSee pricing
Read API docs →