Comparison Overview
Opening Ceremony

Opening Ceremony
undefined, New York, undefined, undefined, US
Last Update: 04/04/2026
Opening Ceremony was founded in 2002 by two friends from UC Berkeley, Carol Lim and Humberto Leon, as a place to share their passions for travel, art, and fashion. Inspired by a trip to Hong Kong, the two decided to leave their jobs in corporate fashion to realize their...

Ralph Lauren
650 Madison Ave, New York, US
Last Update: 10/07/2026
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...
Compliance Ranges Comparison

Opening Ceremony







Ralph Lauren






Benchmark & Cyber Underwriting Signals
Incidents vs Retail Apparel and Fashion Industry Avg (This Year)
No incidents recorded for Opening Ceremony in 2026.
Incidents vs Retail Apparel and Fashion Industry Avg (This Year)
Ralph Lauren has 94.17% more incidents than the average of all companies with at least one recorded incident.
Incident History - Opening Ceremony (X = Date, Y = Severity)
Opening Ceremony cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ralph Lauren (X = Date, Y = Severity)
Ralph Lauren cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Opening Ceremony

Ralph Lauren
FAQ
Latest Global CVEs
The GOOSE subscriber component improperly validates the UTC timestamp field in unauthenticated IEC 61850 GOOSE (EtherType 0x88B8) Layer-2 multicast messages. A specially crafted GOOSE frame containing an undersized timestamp field can trigger a heap out-of-bounds read during message processing, causing the process to crash and resulting in a denial-of-service condition.
OpenClaw Dashboard contains a stored cross-site scripting vulnerability that allows unauthenticated remote attackers to execute arbitrary JavaScript in the administrator's browser session by injecting HTML markup into agent transcript messages processed through the sessions API. Attackers can craft a message containing inline event handler payloads such as an img tag with an onerror attribute within the 60-character rendering budget, which is stored in the session transcript and interpolated unsanitized into innerHTML on the default landing page, allowing theft of session tokens and unauthorized calls to authenticated administrative endpoints including agent instruction file modification.
MeshCentral 1.1.21 contains a cross-site WebSocket hijacking protection bypass vulnerability that allows unauthenticated remote attackers to hijack authenticated administrator sessions by exploiting an unconditional early return in the CheckWebServerOriginName() function within webserver.js when self-signed certificates are in use. Attackers can open cross-origin WebSocket connections to any of the twelve WebSocket endpoints, send crafted action commands to exfiltrate the server sessionKey used to sign session cookies, forge session tokens as arbitrary users, and gain full remote control of all managed devices governed by the MeshCentral instance.
The GOOSE parser contains an off-by-one boundary-handling flaw that can be triggered by a single unauthenticated Layer-2 multicast frame on the process bus. When specific GOOSE message fields are processed, the parser advances its internal buffer position incorrectly, resulting in a heap out-of-bounds read. On affected platforms, this condition reliably terminates the subscriber process and causes a denial-of-service.
The GOOSE payload parser contains a boundary handling flaw that can be triggered by a single unauthenticated Layer 2 multicast frame on the process bus. When processing specific payload fields, an attacker controlled inner element length may exceed its enclosing length, causing the parser to over read by one byte. This out-of-bounds read reliably terminates the subscriber process, resulting in a denial-of-service condition.