{"vulnerability": "cve-2024-1544", "sightings": [{"uuid": "b3aa95b2-1150-402e-add9-e37a651ed1e5", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "9f56dd64-161d-43a6-b9c3-555944290a09", "vulnerability": "CVE-2024-1544", "type": "seen", "source": "https://t.me/cvedetector/4274", "content": "{\n  \"Source\": \"CVE FEED\",\n  \"Title\": \"CVE-2024-1544 - Vulnerability Title: Apache Weil Pairing ECDSA Nonce Bias in ECSECP160R1\", \n  \"Content\": \"CVE ID : CVE-2024-1544 \nPublished : Aug. 27, 2024, 7:15 p.m. | 43\u00a0minutes ago \nDescription : Generating the ECDSA nonce k samples a random number r and then   \ntruncates this randomness with a modular reduction mod n where n is the   \norder of the elliptic curve. Meaning k = r mod n. The division used   \nduring the reduction estimates a factor q_e by dividing the upper two   \ndigits (a digit having e.g. a size of 8 byte) of r by the upper digit of   \nn and then decrements q_e in a loop until it has the correct size.   \nObserving the number of times q_e is decremented through a control-flow   \nrevealing side-channel reveals a bias in the most significant bits of   \nk. Depending on the curve this is either a negligible bias or a   \nsignificant bias large enough to reconstruct k with lattice reduction   \nmethods. For SECP160R1, e.g., we find a bias of 15 bits. \nSeverity: 4.1 | MEDIUM \nVisit the link for more details, such as CVSS details, affected products, timeline, and more...\",\n  \"Detection Date\": \"27 Aug 2024\",\n  \"Type\": \"Vulnerability\"\n}\n\ud83d\udd39 t.me/cvedetector \ud83d\udd39", "creation_timestamp": "2024-08-27T22:24:53.000000Z"}]}