Access Learning A.I CyberSecurity Scoring
19/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Access Learning in 2026.
No incidents recorded for Access Learning in 2026.
No incidents recorded for Access Learning in 2026.
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MOOS-IvP through 24.8.1 fails to properly validate variable names extracted from alog files in the SplitHandler, allowing attackers to write files outside the split directory. Attackers can supply crafted alog files with backslash sequences in variable names to escape the output directory and append to arbitrary files on Windows systems.
MOOS core-moos through 10.4.0 contains a buffer over-read vulnerability in CMOOSCommPkt where a four-byte packet triggers out-of-bounds memory access during deserialization. Attackers can open a TCP connection to the MOOSDB port and send a crafted short packet to read memory before authentication.
MOOS core-moos through 10.4.0 contains a buffer overflow vulnerability in CMOOSSerialPort::GetTelegram() that writes a NUL terminator one byte past the serial telegram stack buffer. Attackers controlling the serial line can send a full-length telegram to trigger the off-by-one write, corrupting the stack and potentially enabling code execution.
MOOS core-moos through 10.4.0 fails to escape database contents when rendering MOOSDB HTTP pages, allowing attackers to inject malicious scripts. Any MOOS publisher can set variable values containing script payloads that execute in the browser of operators viewing the web interface.
MOOS ui-moos through 50b9c6c contains a buffer overflow vulnerability in ScopeTabPane.cpp and ScopeGrid.cpp where client and variable names are formatted into fixed 1024-byte buffers using sprintf without length validation. Attackers can supply arbitrarily long MOOS identifiers that overflow the buffers when an operator selects process list entries or pokes variables, enabling code execution.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.