Incomplete in the CWE catalog · 52 CVEs mapped
The product uses a scheme that generates numbers or identifiers that are more predictable than required.
ATutor generates predictable email confirmation tokens due to the use of insufficiently random values in the account confirmation functionality. Due to the use of predictable values related to user registration, an attacker who knows or can predict these values can guess valid account activation tokens. This allows an attacker to activate an unconfirmed account without access to the victim's email inbox. Product is no longer actively supported and the vulnerabilities have not been fixed. Only version 2.2.4 was tested and confirmed as vulnerable, other versions were not tested but might also be vulnerable.
The application generates uploaded file names using a weak and predictable method based on the request timestamp. This allows a remote attacker to accurately guess or brute-force the generated filename within a short time window. An attacker can successfully locate and access uploaded files, which can be used to facilitate further attacks. Apply patch from vendor https://vsdesk.ru/ . Versions 14.0101 and on have the patch.
OpnForm derives editable-submission secrets from sequential row identifiers using Hashids with an empty default salt, allowing unauthenticated attackers to compute hashes for any submission. Attackers can read other respondents' full submission data through the submission-fetch endpoint or overwrite submissions by supplying predicted hashes to the answer endpoint.