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HTPBE?

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

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

Status

Algorithm v2.37.1

Tool profile

PTC Arbortext

PTC Arbortext 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 this tool’s share of the HTPBE? corpus.

Modification rate
5%-43pp below baseline
Corpus baseline: 48%
Corpus share
0.6%
Share of all analyzed appearances
Modification rate
5%
-43pp below baseline
Role split
100%C/0%P
Creator vs Producer share of appearances

Corpus profile

How PTC Arbortext shows up in HTPBE? corpus

PTC Arbortext is one of the PDF-handling tools surfaced in the HTPBE? corpus. PTC Arbortext appears predominantly as the original Creator (100% of its occurrences) — i.e. on documents that started life inside PTC Arbortext rather than passing through it as a downstream re-saver.

In the HTPBE? corpus the contextual signal we look for is a producer/creator mismatch: when PTC Arbortext appears as the latest Producer on a document whose Creator was an institutional source (e.g. Adobe PDF Library, Microsoft Word, a banking back-end), the document was rebuilt or re-saved after its original creation. That mismatch is the marker — never the tool itself.

On documents where PTC Arbortext acts as Creator, 5% carry modification markers; on documents where it acts as Producer, 0% do. These are observed rates inside the HTPBE? corpus and should be read as base-rates, not as accusations against PTC Arbortext or its users.

The signal
In the HTPBE? corpus the contextual signal we look for is a producer/creator mismatch: when PTC Arbortext appears as the latest Producer on a document whose Creator was an institutional source (e.g. Adobe PDF Library, Microsoft Word, a banking back-end), the document was rebuilt or re-saved after its original creation. That mismatch is the marker — never the tool itself.

Role in the workflow

How PTC Arbortext 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
  • Share of appearances
    100%
  • Modification rate
    5%
  • Avg file size
    1.3 MB
PAs Producer
  • Share of appearances
    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 PTC Arbortext in the wild. All are merged into the same canonical profile.

PTC Arbortext Publishing Engine99.2%
Arbortext Advanced Print Publisher 9.1.440/W Unicode0.8%

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
PTC Arbortext Publishing Engine
99.2% of appearances
Variant spread
2 distinct strings
Long-tail share: 0.8%
Observed range
21.12.2020 → 27.09.2024

Distributions

What ships alongside PTC Arbortext

The PDF versions PTC Arbortext writes when acting as Producer, and the other tools that appear in the same documents.

Common Producers when PTC Arbortext is the Creator

PDFlib writes 99% of these files — that pairing is the Adobe-stack default for many institutional pipelines.

PDFlib99.2%
Acrobat Distiller0.8%

Related profiles

Tools you’ll see next to PTC Arbortext

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

P99% co-occurrence
PDFlib
Corpus share1.4%
Mod rate11%
P1% co-occurrence
Acrobat Distiller
Corpus share1.4%
Mod rate55%

Long tail

Notable observations

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

Avg pages per document
16.8
Oldest observed
21.12.2020 — over 5 years ago

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