CVE-2026-64198High· 7.8▾ TwilightThere is an out-of-bounds read vulnerability in DASYLab due to improper validation of user-supplied data. This results in a read a few bytes past the end of an allocated heap buffer during file handling. Successful exploitation requir…
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 42.9 · likelihood 0 · exploitation 0
Need a working PoC? Pro members can cast a request and our team develops one — it lands right here.
Exploit-prediction probability, daily snapshots since Sep 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via NVD
0.1%
Last analysed / modified upstream
0.1% → 0.2%
There is an out-of-bounds read vulnerability in DASYLab due to improper validation of user-supplied data. This results in a read a few bytes past the end of an allocated heap buffer during file handling. Successful exploitation requires an attacker to get a user to open a specially crafted .DSB file. This issue affects all versions before 2026.0.0.
dasylab < 2026.0dasylab = 2026.0Upgrade past the affected range:
dasylab 2026.0Connected by shared product, vendor, weakness, or advisory.
CVE-2026-64200High· 7.8There is an out-of-bounds read vulnerability in DASYLab due to improper validation of user-supplied data
CVE-2026-64199High· 7.8There is an out-of-bounds read vulnerability in DASYLab due to improper validation of user-supplied data
CVE-2025-57778High· 7.8There is an out of bounds write vulnerability due to improper bounds checking resulting in an invalid source address when parsing a DSB file with Digilent DASYLab
CVE-2025-64467High· 7.8There is an out of bounds read vulnerability in NI LabVIEW in LVResFile::FindRsrcListEntry() when parsing a corrupted VI file
CVE-2025-64462High· 7.8There is an out of bounds read vulnerability in NI LabVIEW in LVResFile::RGetMemFileHandle() when parsing a corrupted VI file
CVE-2026-64195High· 7.8There is an out-of-bounds write vulnerability in DASYLab due to lack of proper validation of user-supplied data