SSRF in PPT File Handler of taoofagi easegen-admin via downloadFile
CVE-2026-4284 Published on March 16, 2026
taoofagi easegen-admin PPT File PPTUtil.java downloadFile server-side request forgery
A vulnerability was determined in taoofagi easegen-admin up to 8f87936ac774065b92fb20aab55b274a6ea76433. This issue affects the function downloadFile of the file - yudao-module-digitalcourse/yudao-module-digitalcourse-biz/src/main/java/cn/iocoder/yudao/module/digitalcourse/util/PPTUtil.java of the component PPT File Handler. This manipulation of the argument url causes server-side request forgery. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The vendor was contacted early about this disclosure but did not respond in any way.
Timeline
Advisory disclosed
VulDB entry created
VulDB entry last update
Weakness Type
What is a SSRF Vulnerability?
The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. By providing URLs to unexpected hosts or ports, attackers can make it appear that the server is sending the request, possibly bypassing access controls such as firewalls that prevent the attackers from accessing the URLs directly. The server can be used as a proxy to conduct port scanning of hosts in internal networks, use other URLs such as that can access documents on the system (using file://), or use other protocols such as gopher:// or tftp://, which may provide greater control over the contents of requests.
CVE-2026-4284 has been classified to as a SSRF vulnerability or weakness.
Affected Versions
taoofagi easegen-admin Version 8f87936ac774065b92fb20aab55b274a6ea76433 is affected by CVE-2026-4284Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.