Orrick Italy A.I CyberSecurity Scoring
22/11/2025
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Orrick Italy in 2026.
No incidents recorded for Orrick Italy in 2026.
No incidents recorded for Orrick Italy in 2026.
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Latest updates, reports, and threat intel affecting the global network.
The Italian Law No. 132/2025 on rules applicable to AI systems and models ('Italian AI Law') took effect October 10, 2025.
This Essential Guide is part of Orrick's Cybersecurity & Privacy Compass Series. The Cybersecurity & Privacy Compass is your global guide to...
Orrick's 20 new partners strengthen the firm's teams serving the tech, energy, finance and life sciences sectors. They are based in 10 markets worldwide.
The Network and Information Security 2 Directive (“NIS2”) was implemented into law in the EU on 17 October 2024.
The European Union has reached a significant milestone by finalizing the Artificial Intelligence Act, establishing the world's first...
Orrick has seen 15 Milan-based compliance and IP lawyers leave for Italian heavyweight BonelliErede, just a few days after a 23-lawyer M&A and finance team...
A team of more than 30 people, including 23 Finance and M&A lawyers, led by Patrizio Messina, has joined Hogan Lovells after leaving U.S....
In this Essential Guide, which is part of Orrick's Cybersecurity & Privacy Compass Series, we will provide insight into the potential fines...
A group of 21 Orrick Herrington & Sutcliffe attorneys has broken away from the California-founded law firm to start a law and financial...
A flaw was found in nfs-utils. An unauthenticated remote attacker can trigger a Denial of Service (DoS) by sending repeated state notification requests to an exposed rpc.statd service. The service fails to properly release memory allocated during callback processing, leading to continuous memory growth. Sustained requests can exhaust system resources, eventually causing the service to degrade or crash.
A flaw was found in parted. A heap-based buffer overflow exists in libparted's file system resizing logic when handling FAT16 volumes. By convincing a user or administrator to resize a specially crafted FAT16 file system image with malformed directory metadata, an attacker can trigger an oversized read into a fixed-size memory buffer. This issue causes memory corruption, resulting in an application crash and a denial of service (DoS).
A flaw was found in parted. A heap-based buffer overflow can occur when processing a specially crafted FAT32 filesystem due to an integer calculation error during buffer allocation. A local attacker could exploit this by enticing a user or automated service to open a malicious filesystem image, resulting in an application crash leading to a Denial of Service (DoS) or potential memory corruption.
A flaw was found in libarchive. An attacker can cause a Denial of Service (DoS) or potential information disclosure due to a use-after-free vulnerability, which occurs when a program reads memory that has already been released. This issue arises when the archive_entry_copy_mac_metadata() function deallocates an internal buffer before completing a data copy. An attacker who can supply input to an application utilizing this function can trigger the flaw to crash the application or read uninitialized memory data.
A flaw was found in Nautilus. When a removable drive or disk image is unmounted or ejected, Nautilus prompts the user to empty the trash without verifying whether the trash directory paths are symbolic links. An attacker can exploit this flaw by tricking a user into mounting a crafted storage volume and confirming the prompt to empty the trash, leading to the arbitrary deletion of files accessible to that user.
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.