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Malicious Package Detection Patents: Who Leads, Gaps 2026

Malicious Package Detection Patents: Who Leads, Gaps 2026
https://www.patsnap.com/resources/blog/rd-blog/malicious-package-detection-in-repositories-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Software Supply Chain Security
Malicious Package Detection in Repositories: Patents, Leaders and Where Claim Space Is Still Open
  • Concentrated at the top. A single leader holds 6 of 34 records, and the top 5 assignees together account for 61.8% of all 34 records in scope.
  • A long tail below rank 10. The top 10 assignees cover 94.1% of the field, leaving only a handful of records spread across the remaining filers.
  • Filing peaked in 2023. Six records published that year, the high point in a trend running from zero in 2017 to a still-partial 2026.
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34
Published Records
62%
Top-5 Share of All Records
US
Leading Jurisdiction
12
Active Filers Ranked

Top-5 share is the combined record count of the five largest assignees divided by all 34 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This landscape covers 34 published patent records matching malicious package detection, repository code integrity verification, install-script analysis, package signature checking, name-similarity detection, version pinning, repository access control, and behavior analysis, filed between 2015 and the 2026-07-31 cut-off. The search string pairs core detection concepts with the specific mechanisms — install scripts, signatures, typosquatting-style name similarity, version pinning, access control, and behavioral analysis — that distinguish a repository-security filing from generic malware detection art.

Because publication typically lags filing by around 18 months, the most recent one or two years in the trend understate actual filing activity; treat 2025 and 2026 figures as a floor, not a ceiling.

Filing activity, 2017-2026
  1. 1SONATYPE INC6
  2. 2BOOST SUBSCRIBERCO LLC4
  3. 3KARAMBITAI INC4
  4. 4AMERICAN EXPRESS TRAVEL RELATED SERVICES CO INC4
  5. 5YINWANG INTELLIGENT TECHNOLOGIES CO LTD3
  6. 6CISCO TECHNOLOGY INC3
  7. 7HUAWEI CLOUD COMPUTING TECHNOLOGIES CO LTD2
  8. 8SPEKTION INC2
  9. 9SINGLEHOP LLC2
  10. 10SUN MICROSYSTEMS INC2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Malicious Package Detection in Repositories covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Data

Filing trend and technology composition

Two views of the same 34-record dataset: how filing activity has moved year over year, and which IPC subclasses the records sit in.

Filing trend

Filings run from zero in 2017 to a peak of 6 in 2023, then continue into a partial 2026 count of 1. With fewer than four complete years remaining once the publication lag is accounted for, a growth rate cannot be reliably computed from this trend.

Filing trend023560201720182019202020212022620232024202512026Most recent year is partial — publication lag means later filings are not yet visible.

Technology composition by IPC subclass

G06F (electric digital data processing) covers 79.4% of the 34 records, confirming that most claims are framed as data-processing methods rather than network-layer or transaction-layer inventions. H04L (digital information transmission) appears in 38.2% of records, reflecting the network-transport side of package delivery and verification. G06Q (11.8%) and H04W (5.9%) are minority classes, tied to commerce-platform and wireless-specific filings respectively. Because a single record can carry multiple IPC classes, these shares sum to more than 100% of the record total.

Technology composition by IPC subclassG06F · Electric digital data processi…2779.4%H04L · Digital information transmissi…1338.2%G06Q · Business, commerce & admin dat…411.8%H04W · Wireless communication networks25.9%

Shares are the percentage of the 34 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Malicious Package Detection in Repositories covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Representative filing and most-cited records

Representative Filing
US20200394654A12020-12-17

Deploying a cloud-based system using a distributed ledger

AMERICAN EXPRESS TRAVEL RELATED SERVICES COMPANY, INC.

Systems and methods for the deployment of cloud-based systems using a distributed ledger are disclosed. The system may include a cloud provider system and a distributed ledger. The cloud provider system may be configured to deploy cloud-based systems and APIs to enable one or more participant systems to leverage cloud-based resources. The distributed ledger may record events, functionalities, and operations from the cloud provider system, the participant systems, and the deployed cloud-based systems and APIs.Filed by American Express Travel Related Services, published 2020-12-17 as US20200394654A1.

US20200394654A1 — patent drawing 1US20200394654A1 — patent drawing 2
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Most-cited records in this dataset
#Publication no.Patent titleCitations
1US20180131574A1Remote server monitoring and patching system232
2US20160112262A1Installation and configuration of connected devices158
3US20170010874A1Provisioning storage devices in a data center55
4US20180131579A1Systems and interface for remotely managing server operations50
5US20210056209A1Method, system, and storage medium for security of software components38
6US20200394654A1Deploying a cloud-based system using a distributed ledger31
7US20040177135A1Image files constructing tools for cluster configuration9
8US20220261804A1Deploying a cloud-based system using a distributed ledger3
9US11455400B2Method, system, and storage medium for security of software components3
10US11341503B2Deploying a cloud-based system using a distributed ledger3

Citation counts are drawn from a searched corpus and skew toward older filings; read them as a signal of influence on later art, not of current commercial relevance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Malicious Package Detection in Repositories covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Three read-outs from the dataset, useful for deciding where new claims are likely to clear prior art and where they are not.

Concentration
61.8% / top 5
share of all 34 records

Filing is concentrated, not distributed

The top 5 assignees hold 61.8% of all 34 records in scope, and the leader alone accounts for 6. A new entrant filing broad detection claims is filing against a small number of well-established portfolios rather than a fragmented field.

Based on the full 34-record assignee ranking.
Technology skew
79.4% G06F
of 34 records

Claims cluster in data-processing framing

Nearly four in five records sit in G06F, meaning most inventions are claimed as data-processing methods for scanning, comparing or scoring packages rather than as network-transport or transaction inventions. H04L coverage at 38.2% marks the secondary cluster around transmission and delivery verification.

IPC subclass shares, record-level, multi-class records counted once per class.
Filing momentum
Peak 2023, 6 records
highest single year in the trend

Activity has already peaked once

The trend rises from zero in 2017 to a high of 6 records in 2023, then tapers into a partial, lag-affected 2025-2026 window. That single peak year, rather than a steady climb, suggests filing has come in a cluster rather than a sustained ramp.

2026 figure is partial due to the data cut-off.
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to malicious package detection in repositories, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Malicious Package Detection in Repositories covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who holds the ranked positions, and where the gate sits

The ranking behind this dataset covers 12 companies, counted in records — not a top-50 or top-100 list, but the complete set the data endpoint returns for this search.

Leader
6 records
single leading assignee

One assignee sets the pace

The top-ranked assignee holds 6 of the 34 records in scope, the largest single share in the ranking. That volume alone does not confirm breadth of coverage, but it does mean any new filer needs freedom-to-operate review against this portfolio first.

Recent-year momentum for this and other leading assignees was flat at 0 in the latest partial year.
Mid-field
3 records
fifth-ranked assignee

A tight cluster behind the leader

Fifth place holds 3 records, and the top 5 combined reach 61.8% of all 34 records. The gap between the leader and the rest of the top 5 is real but not enormous, meaning the field is contested rather than dominated by one player alone.

Top 5 combined: 21 of 34 records.
Long tail
2 records
tenth-ranked assignee

The tail thins out fast past rank ten

Tenth place holds 2 records, and the top 10 combined already reach 94.1% of the field. Beyond rank ten, remaining filers hold single-digit, likely single-filing positions — a sign that late entrants have not yet built portfolio depth here.

Top 10 combined: 32 of 34 records.
🔍
Under-claimed sub-areas
Branches with limited filing density relative to the core detection claims, based on the technology composition and receiving-office spread.
Install-script behavioral sandboxingPackage name-similarity scoring for typosquattingVersion-pinning enforcement at install timeRepository access-control policy enginesDistributed-ledger provenance for package deployment
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Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Sonatype Inc0
American Express Travel Related Services Company, Inc.0
KARAMBITAI INC0
Cisco Technology, Inc.0
Yinwang Intelligent Technologies Co., Ltd.0-100%
DISH WIRELESS LLC0
SPEKTION INC0-100%
SINGLEHOP LLC0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Malicious Package Detection in Repositories covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this next

The dataset points to a concentrated top, a fast-thinning tail, and a technology mix still weighted toward data-processing framing over network or access-control claims.

Check freedom-to-operate against the top 5

With 61.8% of all 34 records held by five assignees, any new filing in core detection methods should start with a clearance review against that group before drafting claims.

Explore assignee portfolios in Eureka

Scope claims toward under-claimed branches

Access control, version pinning enforcement and name-similarity scoring show thinner coverage than the core G06F detection cluster, and may offer more room for a defensible first claim.

Run a white space search in Eureka

Track the 2025-2026 window as data settles

Because publication lags filing by roughly 18 months, the apparent slowdown after the 2023 peak is not yet reliable; revisit the trend once later filings publish.

Set a filing alert in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Malicious Package Detection in Repositories covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Malicious Package Detection in Repositories covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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