Cyber Signal
A daily cut from public sources. You don't subscribe to it. It just gets published.
No account. No email address. No tracking.
A daily cut from public sources. You don't subscribe to it. It just gets published.
No account. No email address. No tracking.
items report exploitation — not proof of concept
records parsed from the source feeds — before the time window and de-duplication
The digest hands us counts, not the discarded items — so this shows how many and why, not which.
July brought 4,084 new advisories for malicious npm packages. Other months run around 731 — July is a spike, not a trend.
All 8,189 of them, across seven months, are rated critical. Not one carries a computed CVSS score — there is nothing to score in a malicious package. It is not a flaw in the code, it is intent. Triage them by severity and every one is a tie.
But reach is distributed extremely unevenly. Of the 354 packages we could resolve, 67% have no dependents at all — their reach is zero. Among the rest the median multiplier is 1.95×, and 7% multiply thirtyfold or more. Highest measured case: engine.io has 118 direct dependents and reaches 15,865 through the tree. An average severity cannot see that spread at all.
Dependencies: a deps.dev v3alpha dependentCount measurement, SINGLE provider, no cross-check, window 2026-07. The package version is picked by a rule frozen BEFORE the run and BLIND to the measured value — the earlier method took the maximum across six versions, i.e. selected on the quantity it was meant to measure, and overstated the tail twofold. Amplification is undefined for packages with no dependents; those are reported separately as zero reach, not as a missing value. And advisories capture a fraction of malicious packages — this is the advisory denominator, not the malware denominator.
Attention classes are how much attention we gave an item. They are not severity verdicts.
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