What is the official website of WALTER USA, LLC ?

The official website of WALTER USA, LLC is https://www.walter-tools.com/us.

What is WALTER USA, LLC's cybersecurity risk score?

WALTER USA, LLC has an AI-generated cybersecurity risk score of 744 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has WALTER USA, LLC experienced?

According to Rankiteo, WALTER USA, LLC currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has WALTER USA, LLC been affected by any supply chain cyber incidents ?

According to Rankiteo, WALTER USA, LLC has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does WALTER USA, LLC have SOC 2 Type 1 certification ?

According to Rankiteo, WALTER USA, LLC is not certified under SOC 2 Type 1.

Does WALTER USA, LLC have SOC 2 Type 2 certification ?

According to Rankiteo, WALTER USA, LLC does not hold a SOC 2 Type 2 certification.

Does WALTER USA, LLC comply with GDPR ?

According to Rankiteo, WALTER USA, LLC is not listed as GDPR compliant.

Does WALTER USA, LLC have PCI DSS certification ?

According to Rankiteo, WALTER USA, LLC does not currently maintain PCI DSS compliance.

Does WALTER USA, LLC comply with HIPAA ?

According to Rankiteo, WALTER USA, LLC is not compliant with HIPAA regulations.

Does WALTER USA, LLC have ISO 27001 certification ?

According to Rankiteo,WALTER USA, LLC is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does WALTER USA, LLC operate in ?

WALTER USA, LLC operates primarily in the Industrial Machinery Manufacturing industry.

How many employees does WALTER USA, LLC have ?

WALTER USA, LLC employs approximately 62 people worldwide.

Does WALTER USA, LLC own any subsidiaries ?

WALTER USA, LLC presently has no subsidiaries across any sectors.

How many LinkedIn followers does WALTER USA, LLC have ?

WALTER USA, LLC's official LinkedIn profile has approximately 7,921 followers.

What is the NAICS classification code for WALTER USA, LLC ?

WALTER USA, LLC is classified under the NAICS code 3332, which corresponds to Industrial Machinery Manufacturing.

Does WALTER USA, LLC have a Crunchbase profile ?

No, WALTER USA, LLC does not have a profile on Crunchbase.

Does WALTER USA, LLC have a LinkedIn profile ?

Yes, WALTER USA, LLC maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/walter-usa-llc.

How many cybersecurity incidents has WALTER USA, LLC experienced ?

As of September 17, 2026, Rankiteo reports that WALTER USA, LLC has not experienced any cybersecurity incidents.

How many peer or competitor companies does WALTER USA, LLC have ?

WALTER USA, LLC has an estimated 7,868 peer or competitor companies worldwide.

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WUL

Boost Score +25 with badge (5 left)

744

/1000

Moderate

769

/1000

Fair

WALTER USA, LLC Vendor Cyber Rating & Cyber Score

walter-tools.com

Add Your Compliance Badge

WALTER USA, LLC, with over 100 years in the metalworking industry, specializes in precision tools for milling, turning, drilling, and threading. Serving sectors like aviation, aerospace, automotive, and energy, the company focuses on improving process reliability and metal cutting efficiency. Embracing Industry 4.0, Walter innovates in digital machining solutions. Its product range, featuring renowned brands like Walter, Walter Titex, and Walter Prototyp, is distributed across the USA, Canada, Mexico, and Brazil. With its Regional Headquarters in Greenville, SC, Walter combines global expertise with local presence, ensuring a commitment to innovation and customer-centric service. Americas Regional Headquarters and Technology Center 1510

WUL

WALTER USA, LLC CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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A.I.

WUL Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for WUL

Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for WALTER USA, LLC in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for WALTER USA, LLC in 2026.

Incident Types WUL vs Industrial Machinery Manufacturing Industry Avg (This Year)

No incidents recorded for WALTER USA, LLC in 2026.

Incident History - WUL (X = Date, Y = Severity)

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SUBSIDIARY

WALTER USA, LLC Subsidiaries

WUL

Industrial Machinery Manufacturing

Website: https://www.walter-tools.com/us

Company Size: 62

Walter ToolsIndustrial Machinery Manufacturing

SandvikMining

Sandvik CoromantIndustrial Machinery Manufacturing

Sandvik Mining and Rock SolutionsGruvdrift

Seco ToolsIndustrial Machinery Manufacturing

Seco Tools FranceIndustrial Machinery Manufacturing

Dormer PrametIndustrial Machinery Manufacturing

Dormer Pramet UKIndustrial Machinery Manufacturing

Dormer Pramet IndiaIndustrial Machinery Manufacturing

Sandvik Rock ProcessingMachinery Manufacturing

Sandvik Additive ManufacturingTillverkning av industriella maskiner

Sandvik Manufacturing SolutionsTillverkning av industriella maskiner

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tranetechnologies.com

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NEWS

WALTER USA, LLC CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

October 10, 2025 07:00 AM

White House says mass layoffs of federal workers have begun. Shutdown updates.

The federal government shutdown rolled on to Day 10 on Friday as Donald Trump and congressional Republicans and Democrats still cannot reach...

Read Article

February 13, 2017 08:00 AM

Walter O'Brien's cybersecurity advice for President Trump

Walter O'Brien, CEO of Scorpion Computer Services, talks about the framework needed for the government to develop a viable cybersecurity...

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-65388

SUMMARY

A remote attacker who controls a container registry may be able to direct a client's token request to a host of the attacker's choice, and disclose the victim's registry credentials to that host. This vulnerability is addressed in containerization version 0.41.0.

Published

Date2026-09-16

Updated

Date2026-09-16

RISK INFORMATION (Score: )

Impact Score

Exploitability

REFERENCES

https://github.com/apple/containerization/security/advisories/GHSA-mx96-5vvg-x2mg

CVE-2026-61599

SUMMARY

djust provides Phoenix LiveView-style reactive server-side rendering for Django with Rust-powered performance. Prior to version 1.0.7, the djust live transport resolves the LiveView to mount from a client-supplied dotted path by calling `__import__(module_path, ...)`. The module is imported — running its top-level code (import side effects) — before the framework checks that the resolved object is a `LiveView` subclass and before any per-view authentication. The `LIVEVIEW_ALLOWED_MODULES` allowlist that should contain this is fail-open (`if allowed_modules:` — skipped when the setting is unset, the framework default) and uses loose `startswith` matching. An unauthenticated WebSocket client (the WS handshake does not require auth; per-view auth runs only after import + instantiate) can therefore send a `mount` / `live_redirect_mount` / `url_change` frame (or an SSE mount) with `view = "<any.importable.module>.AnyName"` and cause the server to import — and execute the top-level code of — any importable Python module by name. Version 1.0.7 fixes the issue with a fail-closed resolution gate (`djust._view_resolution.is_view_import_allowed`): a client view path resolves only if (a) its module is already loaded (`sys.modules` — so resolving runs no new code; URL-routed views loaded by URLconf at startup keep working with zero config) or (b) it matches `LIVEVIEW_ALLOWED_MODULES` on a module-segment boundary (explicit opt-in for lazily-imported views). The gate runs before `__import__` at all three sinks (+ defense-in-depth inside `_instantiate_view`). As a workaround, set `LIVEVIEW_ALLOWED_MODULES` to the narrow list of modules that contain your mountable LiveView classes. (Note: pre-patch the allowlist is `startswith`-matched and the import still precedes the subclass check, so this is mitigation, not a complete fix.)

Published

Date2026-09-16

Updated

Date2026-09-16

RISK INFORMATION (Score: )

cvss4

Base Score: 8.8

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:H/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

CVE-2026-61596

SUMMARY

djust provides Phoenix LiveView-style reactive server-side rendering for Django with Rust-powered performance. Prior to version 1.0.7, djust's per-object authorization (`get_object` + `has_object_permission`, ADR-017) was enforced on the WebSocket mount and event paths but not on three other render entry points: (a) the initial HTTP GET render, (b) SPA `url_change` navigation, and (c) `{% live_render %}` embedded child views. An authenticated user could therefore view (and on some paths act on) an object they are not authorized for by loading the page directly, navigating to it via SPA url-change, or composing it as an embedded child — a classic IDOR / broken object-level access control on object-scoped views. This is fixed in djust 1.0.7. All render entry points now route through a shared `enforce_object_permission` chokepoint: HTTP GET returns 403, `url_change` emits a `permission_denied` frame and skips the render, and `{% live_render %}` (eager + lazy) refuses the embed. Views without a custom `get_object` are unaffected (no-op). No reliable workaround short of upgrading. Do not expose object-scoped views through the HTTP-GET / url_change / live_render paths until patched.

Published

Date2026-09-16

Updated

Date2026-09-16

RISK INFORMATION (Score: 7.1)

cvss3

Base Score: 7.1

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N

Impact Score

4.2

Exploitability

2.8

REFERENCES

CVE-2026-61589

SUMMARY

djust provides Phoenix LiveView-style reactive server-side rendering for Django with Rust-powered performance. Prior to version 1.0.7, the WebSocket `handle_mount` and `ViewRuntime._build_request` rebuild an `HttpRequest` via `RequestFactory().get(...)` with no `HTTP_HOST`, so `request.get_host()` defaulted to `"testserver"` on the live path. Host/subdomain/domain `TenantResolver`s then misresolved the tenant — `None` on the live path while the HTTP path resolved correctly. With `STRICT_MODE=False` the tenant-scoped managers returned unscoped rows (cross-tenant disclosure); with the default they returned an empty queryset (broken tenancy). This is fixed in djust 1.0.7. The handshake Host is extracted from the ASGI scope, validated against `ALLOWED_HOSTS` (the same logic as the CSWSH Origin gate, parsed with Django's `split_domain_port` so malformed Hosts are rejected at the boundary), and propagated — with the TLS scheme — into the reconstructed request, so live-path tenant resolution matches HTTP exactly. There is no known workaround on the live path short of upgrading. Users are most exposed when combined with `STRICT_MODE=False`.

Published

Date2026-09-16

Updated

Date2026-09-16

RISK INFORMATION (Score: 6.3)

cvss3

Base Score: 6.3

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N

Impact Score

Exploitability

1.8

REFERENCES

CVE-2026-61588

SUMMARY

djust provides Phoenix LiveView-style reactive server-side rendering for Django with Rust-powered performance. Prior to version 1.0.7, when a Django `Model` instance is assigned to a public view attribute, djust serialized it to the client with no sensitive-field denylist — sending fields such as `password` (the hash), privilege flags (e.g. `is_staff` / `is_superuser`), tokens, and other PII to the browser. Because exposing model objects to templates is a normal djust pattern, this could leak credentials/PII without the developer realizing the full object crossed the wire. This is fixed in djust 1.0.7. Model serialization applies a secure-by-default sensitive-field denylist (password/hash/token/secret-style fields and known privilege flags are withheld) with an identity-subset fallback. As a workaround, keep `Model` instances on `_private` attributes and expose only the specific fields needed, until patched.

Published

Date2026-09-16

Updated

Date2026-09-16

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

Impact Score

3.6

Exploitability

2.8

REFERENCES

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WALTER USA, LLC Vendor Cyber Rating & Cyber Score

WUL A.I CyberSecurity Scoring

WALTER USA, LLC CyberSecurity News & History

WUL Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Incident Predictions locked

A.I Risk Score Likelihood 3 - 6 - 9 months

A.I. Risk Score Predictions locked

Underwriter Stats for WUL

Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)

Incidents vs All-Companies Average (This Year)

Incident Types WUL vs Industrial Machinery Manufacturing Industry Avg (This Year)

Incident History - WUL (X = Date, Y = Severity)

WALTER USA, LLC Subsidiaries

WUL

WALTER USA, LLC Similar Companies

Xylem

Wärtsilä

Alfa Laval

Parker Hannifin

Carrier HVAC

FLSmidth

Trane Technologies

Rencol Components Ltd.

Schindler Group

WALTER USA, LLC CyberSecurity News

White House says mass layoffs of federal workers have begun. Shutdown updates.

Walter O'Brien's cybersecurity advice for President Trump

Global CVEs (Not Company-Specific)

Access Data Using Our API

What Do We Measure ?

These are some of the factors we use to calculate the overall score:

Rankiteo

WALTER USA, LLC CyberSecurity News & History

WUL Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Incident Predictions locked

A.I Risk Score Likelihood 3 - 6 - 9 months

A.I. Risk Score Predictions locked

Underwriter Stats for WUL

Incidents vs Industrial Machinery Manufacturing Industry Avg (This Year)

Incidents vs All-Companies Average (This Year)

Incident Types WUL vs Industrial Machinery Manufacturing Industry Avg (This Year)

Incident History - WUL (X = Date, Y = Severity)

WALTER USA, LLC Subsidiaries

WUL

WALTER USA, LLC Similar Companies

Xylem

Wärtsilä

Alfa Laval

Parker Hannifin

Carrier HVAC

FLSmidth

Trane Technologies

Rencol Components Ltd.

Schindler Group

WALTER USA, LLC CyberSecurity News

White House says mass layoffs of federal workers have begun. Shutdown updates.

Walter O'Brien's cybersecurity advice for President Trump

Global CVEs (Not Company-Specific)

Access Data Using Our API

What Do We Measure ?

These are some of the factors we use to calculate the overall score:

Rankiteo