DPE-2026-0029

Failed capture read as a clean result

A measurement that did not work is reported as a subject that does nothing.

In het NederlandsMislukte meting telt als schoon resultaatWat vraag ik hierover, en hoe herken ik een ontwijkend antwoord?
Method webappIoTfirmware status active
Not a vulnerabilityA fault in a measurement, not in a system. Nobody is at fault except the measurement, and the party that ends up described as clean may be anything but.

What it is

A capture produces little or no traffic and the conclusion drawn is that the subject collects little or nothing. In fact the run failed: the interception was refused by a pinned connection, the environment was detected, the session was too short, the page never rendered its heavier components because too many captures ran at once, or the traffic arrived but no request bodies were readable. Nothing distinguishes an empty result from a clean subject unless validity is established separately from content.

Why it is a separate entry

A false negative is published as reassurance, and reassurance is harder to withdraw than an accusation. It also breaks comparison: a set in which some runs failed silently ranks the subjects by how well they were measured rather than by what they do.

How it arises

Not to be confused with

A subject that genuinely does nothing observable is a negative finding worth publishing. This entry is about the step before it: whether the run was capable of showing the thing it reports as absent.

How to establish it

A control run of the same subject, in isolation and with the same behaviour performed, produces traffic that the original run does not. Alternatively the capture itself fails a validity check: components present in the delivered code produced no traffic at all, or the capture contains flows but no readable request bodies.

method differentialQoD 90

Requirements on the measurement

What would refute it

Where this plugs into existing processes

The one question that surfaces itHow do you know your measurement would have seen it if it had been there?
In a DPIA, verify this

Verify that a supporting measurement recorded its own validity before accepting a statement that nothing was found.

As a procurement clause

Measurements delivered by a supplier report the number of valid runs behind every negative statement.

With a complaint, hand over

The number of valid runs, what the run was capable of observing, and a control run of the same subject in isolation.

Reproduction

Legal framing

Objections, and the answer

“We measured and found nothing.”

Say how many valid runs that was, and what would have shown up had it been there. A count over valid runs is a finding; 'nothing seen' is not.

“The scan is automated, so it is consistent.”

Consistent failure is still failure. Automation makes an invalid run cheap to repeat, which is how a whole set acquires the same blind spot.

“The subject cleaned up after our questions.”

Possibly, and that is worth establishing properly: compare against the party's own machine-readable configuration rather than against the absence of traffic in one run.

What this does not establish

Related

How to cite this entry

In text
DPE-2026-0029 (Failed capture read as a clean result)
URL
https://totaledigitalewaarborging.nl/register/DPE-2026-0029
Machine
https://totaledigitalewaarborging.nl/register/DPE-2026-0029/index.json
Full
DPE Catalogue. DPE-2026-0029: Failed capture read as a clean result. Schema 2.0, entry status active. Retrieved from https://totaledigitalewaarborging.nl/register/DPE-2026-0029
Measurement
When you publish a finding, cite the method version alongside the entry: “DPE-2026-0029, established under DPE Measurement Method 1.0”

Identifiers are permanent and are never reused. An entry that is deprecated keeps its number and its address, with the reason attached, because references to it exist elsewhere.