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• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-8699 • published on September 12, 2025 Some "Stored Value" Unattended Payment Solutions of KioSoft use vulnerable NFC cards. Attackers could potentially use this vulnerability to change the balance on the cards and generate money. The account balance is stored on an insecure MiFare Classic NFC card and can be read and written back. By carefully observing changes in card dumps, one can identify fields that store the cash value of the card. Additionally, a checksum can be identified, which is created by XOR-ing the cash and an unknown field with a certain value. By updating the fields accordingly, arbitrary amounts of money can be loaded onto the card (up to $655,35) to pay for goods.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.
• CVE-2025-6638 • published on September 12, 2025 A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically affecting the MarianTokenizer's `remove_language_code()` method. This vulnerability is present in version 4.52.4 and has been fixed in version 4.53.0. The issue arises from inefficient regex processing, which can be exploited by crafted input strings containing malformed language code patterns, leading to excessive CPU consumption and potential denial of service.