Comparison Overview
Ralph Lauren

Ralph Lauren
650 Madison Ave, New York, US
Last Update: 11/09/2026
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of luxury lifestyle products in five categories: apparel, footwear & accessories, home, fragrances and hospitality. For more than 50 years, Ralph Lauren has sought to inspire...

Under Armour
101 Performance Dr, Baltimore, 21230, US
Last Update: 11/09/2026
Our Belief: WE USE THE POWER OF SPORTS TO EXPAND EVERY PLAYING FIELD. Our Obsession: WE ARE OBSESSED WITH ATHLETES WHO STRIVE FOR MORE – IN SPORTS, IN LIFE, AND IN THE WORLD. Our Mission: TO INSPIRE ATHLETES WITH INNOVATIVE PERFORMANCE AND DESIGN SOLUTIONS THEY CAN’T LI...
Compliance Ranges Comparison

Ralph Lauren







Under Armour






Benchmark & Cyber Underwriting Signals
Incidents vs Retail Apparel and Fashion Industry Avg (This Year)
Ralph Lauren has 15.97% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Retail Apparel and Fashion Industry Avg (This Year)
Under Armour has 1.96% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Ralph Lauren (X = Date, Y = Severity)
Ralph Lauren cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Under Armour (X = Date, Y = Severity)
Under Armour cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Ralph Lauren

Under Armour
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