Comparison Overview
CNN Create Brand Studio
CNN Create Brand Studio
160 Old Street, London, EC1V 9BW, GB
Last Update: 26/03/2026
We put the audience first. We inform, inspire and engage audiences globally. We tell stories that create connections between people, brands, and the world around them through the experiences of others. Mirroring CNN’s commitment to truth and authenticity we offer bran...
iHeartMedia
125 W 55th St., New York, NY, US, 10019
Last Update: 01/04/2026
iHeartMedia, Inc. [Nasdaq: IHRT] is the leading audio media company in America, with 90% of Americans listening to iHeart broadcast radio in every month. iHeart’s broadcast radio assets alone have a larger audience in the U.S. than any other media outlet; twice the size...
Compliance Ranges Comparison
CNN Create Brand Studio
iHeartMedia
Benchmark & Cyber Underwriting Signals
Incidents vs Broadcast Media Production and Distribution Industry Avg (This Year)
No incidents recorded for CNN Create Brand Studio in 2026.
Incidents vs Broadcast Media Production and Distribution Industry Avg (This Year)
No incidents recorded for iHeartMedia in 2026.
Incident History - CNN Create Brand Studio (X = Date, Y = Severity)
CNN Create Brand Studio cyber incidents detection timeline including parent company and subsidiaries.
Incident History - iHeartMedia (X = Date, Y = Severity)
iHeartMedia cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
CNN Create Brand Studio
iHeartMedia
FAQ
Latest Global CVEs
PraisonAI before 1.5.115 contains a path traversal vulnerability in MultiAgentMonitor that fails to sanitize agent IDs when building file paths. Attackers can include traversal sequences like ../ in agent IDs to read, write, or overwrite arbitrary files, enabling sensitive disclosure, denial of service, or code execution.
PraisonAI before 1.5.115 contains an information disclosure vulnerability in the MultiAgentLedger component that allows attackers to access sensitive data by registering agents with duplicate IDs. Attackers can exploit the lack of agent ID uniqueness enforcement to share ledger instances and expose system prompts and conversation history between agents.
PraisonAI before 1.5.128 contains a cross-origin agent execution vulnerability in the AGUI endpoint that allows remote attackers to trigger arbitrary agent execution. The POST /agui endpoint lacks authentication and hardcodes Access-Control-Allow-Origin: * headers, combined with Starlette's Content-Type-agnostic JSON parsing, enabling attackers to bypass CORS preflight checks via simple requests and exfiltrate sensitive agent responses including tool execution results and environment data.
PraisonAI before 4.5.128 contains an arbitrary shell command execution vulnerability where the UI modules hardcode approval_mode to auto, overriding administrator configuration from PRAISON_APPROVAL_MODE environment variable. Authenticated attackers can instruct the LLM agent to execute arbitrary shell commands via subprocess.run with shell=True, bypassing the manual approval gate and insufficient command sanitization blocklists.
PraisonAI before 1.5.128 caches tool approval decisions by tool name only, not by invocation arguments, allowing subsequent execute_command calls to bypass approval prompts. Attackers can exploit this by obtaining initial approval for a benign command, then silently exfiltrate API keys and credentials via subsequent shell commands without user consent.