EAS A.I CyberSecurity Scoring
01/04/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Eurofins Agroscience Services in 2026.
No incidents recorded for Eurofins Agroscience Services in 2026.
No incidents recorded for Eurofins Agroscience Services in 2026.
PRIVACY POLICY at the University of Copenhagen: https://informationssikkerhed.ku.dk/english/protection-of-information-privacy/privacy-policy/ With over 40,000 students and more than 9,000 employees, the University of Copenhagen is the largest institution of research and education in Denmark. The purpose of the University – to quote the University Statute – is to ’conduct research and provide further education to the highest academic level’. Approximately one hundred different institutes, departments, laboratories, centres, museums, etc., form the nucleus of the University, where professors, lecturers and other academic staff, as well as most of the technical and administrative personnel, carry out their daily work, and where teaching takes place. These activities take place in various environments ranging from the plant world of the Botanical Gardens, through high-technology laboratories and auditoriums, to the historic buildings and lecture rooms of Frue Plads and other locations.
About Aarhus University Aarhus University is a leading international research university covering all scientific areas with a staff of 11.000 employees and 44.500 students, the majority are post-graduate students enrolled on Master’s and PhD programmes. Aarhus University is among the top 100 universities in the world. The aim of the university is to sustain and enhance a high standard in both research and education, which has placed it among the international elite. Aarhus University was established in 1928 as a small private initiative. It has since grown to become a leading public research university with international reach covering all academic fields and address basic, applied and strategic research as well as the research-based consultancy provided to public authorities and private business. One of Aarhus University’s focus areas is talent development. An activity considered so important that it is singled out as one of the four core activities in the Aarhus University strategy alongside excellent research, world-class education and inspiring research-based consultancy. Research at Aarhus University is both organised in traditional departments under the four faculties and in interdisciplinary research centres. In addition, Aarhus University researchers engage in research collaboration under the auspices of Knowledge Management Centres with external partners such as government organisations, private enterprises, NGOs and Aarhus University’s wide range of international partner universities.
Latest updates, reports, and threat intel affecting the global network.
Regulatory News: Eurofins Scientific (EUFI.PA) (Paris:ERF), the global leader in food testing and a global scientific leader in...
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.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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