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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 v2.44.7

Tool profile

jsPDF

jsPDF 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
40%-9pp below baseline
Corpus baseline: 49%
Corpus share
0.28%
Share of all analyzed appearances
Modification rate
40%
-9pp below baseline
Role split
0%C/100%P
Creator vs Producer share of appearances

Corpus profile

How jsPDF shows up in HTPBE? corpus

jsPDF is a client-side JavaScript library that builds PDFs in the browser. Common in client-rendered receipt and certificate generators.

jsPDF as the latest Producer on a document whose Creator was institutional indicates client-side reconstruction — that producer/creator mismatch is the contextual signal.

The signal
jsPDF as the latest Producer on a document whose Creator was institutional indicates client-side reconstruction — that producer/creator mismatch is the contextual signal.

Role in the workflow

How jsPDF 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 · 0%
As Producer · 100%P
CAs Creator
  • Share of appearances
    0%
  • Modification rate
    0%
PAs Producer
  • Share of appearances
    100%
  • Modification rate
    40%
  • Avg file size
    1.4 MB

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 jsPDF in the wild. All are merged into the same canonical profile.

jsPDF 4.2.035.7%
jsPDF 3.0.330.0%
jsPDF 2.5.212.9%
jsPDF 2.5.15.7%
jsPDF 1.5.35.7%
jsPDF 3.0.44.3%
jsPDF 3.0.12.9%
jsPDF 3.0.21.4%
jsPDF 4.2.11.4%

Why variants matter

The same tool publishes itself under 9 different metadata strings – version bumps, locale tags, build IDs. We canonicalize them so the corpus reflects one identity, not noise.

Most common
jsPDF 4.2.0
35.7% of appearances
Variant spread
9 distinct strings
Long-tail share: 64.3%
Observed range
17.08.2023 → 29.08.2026

Distributions

What ships alongside jsPDF

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

PDF versions written

Most output is PDF 1.3 (88% of files where jsPDF is the Producer).

PDF 1.387.9%
PDF 1.712.1%

Common Creators when jsPDF is the Producer

Bank of America sits upstream in 38% of cases — read this row as “what kinds of documents end up routed through jsPDF.”

Bank of America37.5%
BANK OF AMERICA25.0%
PNC BANK25.0%
US BANK12.5%

Related profiles

Tools you’ll see next to jsPDF

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

C13% co-occurrence
Bank of America
Corpus share0.28%
Mod rate70%
C9% co-occurrence
BANK OF AMERICA
Corpus share0.02%
Mod rate83%
C9% co-occurrence
PNC BANK
Corpus share0.02%
Mod rate67%
C4% co-occurrence
US BANK
Corpus share0.01%
Mod rate100%

Long tail

Notable observations

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

Digitally signed
4%

Of files carry at least one digital signature

Avg pages per document
2.0
Oldest observed
17.08.2023 — about 3 years ago

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