Comparison Overview
Pearl Harbor Naval Shipyard & IMF

Pearl Harbor Naval Shipyard & IMF
667 Safeguard St Ste 100, Pearl Harbor, HI, US, 96860
Last Update: 03/12/2025
Pearl Harbor Naval Shipyard's primary mission is to provide regional maintenance, at the depot and intermediate levels, to keep the surface ships and submarines of our nation's Navy "Fit to Fight." As Hawaii’s regional maintenance center we provide excellence in environ...

Lockheed Martin
6801 Rockledge Drive, Bethesda, 20817, US
Last Update: 11/09/2026
The world relies on what we do. Headquartered in Bethesda, Maryland, with offices across the U.S. and around the globe, our team delivers solutions that strengthen national security, shape industries and push engineering and technology to new levels. We collaborate t...
Compliance Ranges Comparison

Pearl Harbor Naval Shipyard & IMF







Lockheed Martin






Benchmark & Cyber Underwriting Signals
Incidents vs Defense and Space Manufacturing Industry Avg (This Year)
No incidents recorded for Pearl Harbor Naval Shipyard & IMF in 2026.
Incidents vs Defense and Space Manufacturing Industry Avg (This Year)
Lockheed Martin has 94.17% more incidents than the average of all companies with at least one recorded incident.
Incident History - Pearl Harbor Naval Shipyard & IMF (X = Date, Y = Severity)
Pearl Harbor Naval Shipyard & IMF cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Lockheed Martin (X = Date, Y = Severity)
Lockheed Martin cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Pearl Harbor Naval Shipyard & IMF

Lockheed Martin
FAQ
Latest Global CVEs
DocsGPT through 0.20.0 posts OAuth connector session tokens to a wildcard target origin in the callback-status endpoint without validating sender origin. Attackers can obtain session tokens and provider account emails by acting as window.opener during OAuth authorization, then use tokens to disconnect victims' cloud storage connectors.
- https://github.com/arc53/DocsGPT
- https://github.com/arc53/DocsGPT/blob/c36b0af17037449f34449efa97da82becfc9492d/docsgpt/api/connector/routes.py#L344-L366
- https://github.com/arc53/DocsGPT/blob/c36b0af17037449f34449efa97da82becfc9492d/docsgpt/api/connector/routes.py#L515-L527
- https://github.com/arc53/DocsGPT/blob/c36b0af17037449f34449efa97da82becfc9492d/frontend/src/components/ConnectorAuth.tsx#L57-L80
- https://github.com/arc53/DocsGPT/issues/2766
- https://www.vulncheck.com/advisories/docsgpt-through-0.20.0-oauth-token-disclosure-via-wildcard-postmessage
DevSpace through 6.3.21 fails to reject parent-directory segments in tar entry names from the in-pod sync stream. Attackers operating a malicious container can stream tar entries with traversal sequences to write arbitrary files on the developer workstation, enabling code execution.
- https://github.com/devspace-sh/devspace
- https://github.com/devspace-sh/devspace/blob/7f272dcf90653fa9b42bc4347f7f3f9a52b0e8b5/pkg/devspace/sync/tar.go#L68-L82
- https://github.com/devspace-sh/devspace/blob/7f272dcf90653fa9b42bc4347f7f3f9a52b0e8b5/pkg/devspace/sync/util.go#L9-L11
- https://github.com/devspace-sh/devspace/issues/3290
- https://www.vulncheck.com/advisories/devspace-through-6.3.21-path-traversal-via-tar-extraction
Refly through 1.1.0 contains a server-side request forgery vulnerability in the POST /v1/misc/scrape endpoint that fetches caller-supplied URLs without validating the scheme, host, or resolved address. Authenticated attackers can make the backend issue requests to loopback, private, and link-local addresses including cloud metadata services to read page titles and descriptions of internal resources.
- https://github.com/refly-ai/refly
- https://github.com/refly-ai/refly/blob/77fb0ca184251bba7380cbac2dbdf7a6c9944652/apps/api/src/modules/misc/misc.controller.ts#L38-L43
- https://github.com/refly-ai/refly/blob/77fb0ca184251bba7380cbac2dbdf7a6c9944652/packages/utils/src/scrape-weblink.ts
- https://github.com/refly-ai/refly/issues/2280
- https://www.vulncheck.com/advisories/refly-through-1.1.0-server-side-request-forgery-via-scrape-endpoint
GrowthBook through 5.0.1 returns unredacted fact table definitions including raw warehouse SQL in payloads served by unauthenticated public report and experiment endpoints. Attackers with knowledge of a publicly shared report or experiment identifier can read internal data warehouse query text, schema, table names, filter values and datasource identifiers.
- https://github.com/growthbook/growthbook
- https://github.com/growthbook/growthbook/blob/57d07471b137eb43d9bfb1613d0a1203d21fef88/packages/back-end/src/app.ts#L391-L409
- https://github.com/growthbook/growthbook/blob/57d07471b137eb43d9bfb1613d0a1203d21fef88/packages/back-end/src/services/reports.ts#L880-L890
- https://github.com/growthbook/growthbook/issues/6541
- https://www.vulncheck.com/advisories/growthbook-through-5.0.1-information-disclosure-via-public-endpoints
Flowable flowable-engine through 8.0.0 contains an XML external entity injection vulnerability in ProcessDiagramLayoutFactory.parseXml() that fails to disable external entity resolution when parsing deployed BPMN resources. Attackers with process deployment privileges can embed DOCTYPE declarations with external entities in BPMN files to read arbitrary local files or trigger requests to internal network endpoints when diagram layout is computed.
- https://github.com/flowable/flowable-engine
- https://github.com/flowable/flowable-engine/blob/0779d68e5a3385b74d8acb8bc37901ff54513249/modules/flowable-engine/src/main/java/org/flowable/engine/impl/bpmn/diagram/ProcessDiagramLayoutFactory.java#L101-L118
- https://github.com/flowable/flowable-engine/blob/0779d68e5a3385b74d8acb8bc37901ff54513249/modules/flowable5-engine/src/main/java/org/activiti/engine/impl/bpmn/diagram/ProcessDiagramLayoutFactory.java#L97-L114
- https://github.com/flowable/flowable-engine/issues/4216
- https://www.vulncheck.com/advisories/flowable-flowable-engine-through-8.0.0-xxe-via-processdiagramlayoutfactory