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Attacker Value
Unknown

CVE-2024-1089

Disclosure Date: February 29, 2024 (last updated January 12, 2025)
The ImageRecycle pdf & image compression plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the optimizeAllOn function in all versions up to, and including, 3.1.13. This makes it possible for authenticated attackers, with subscriber-level access and above, to modify image optimization settings.
Attacker Value
Unknown

CVE-2024-0984

Disclosure Date: February 29, 2024 (last updated January 12, 2025)
The ImageRecycle pdf & image compression plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the disableOptimization function in all versions up to, and including, 3.1.13. This makes it possible for authenticated attackers, with subscriber-level access and above, to disable the image optimization setting.
Attacker Value
Unknown

CVE-2024-0983

Disclosure Date: February 29, 2024 (last updated January 12, 2025)
The ImageRecycle pdf & image compression plugin for WordPress is vulnerable to unauthorized modification of data due to a missing capability check on the enableOptimization function in all versions up to, and including, 3.1.13. This makes it possible for authenticated attackers, with subscriber-level access and above, to enable image optimization.
Attacker Value
Unknown

CVE-2023-40196

Disclosure Date: September 04, 2023 (last updated October 08, 2023)
Unauth. Reflected Cross-Site Scripting (XSS) vulnerability in ImageRecycle ImageRecycle pdf & image compression plugin <= 3.1.11 versions.
Attacker Value
Unknown

CVE-2023-30494

Disclosure Date: September 04, 2023 (last updated October 08, 2023)
Unauth. Reflected Cross-Site Scripting (XSS) vulnerability in ImageRecycle ImageRecycle pdf & image compression plugin <= 3.1.10 versions.
Attacker Value
Unknown

CVE-2008-1928

Disclosure Date: April 24, 2008 (last updated October 04, 2023)
Buffer overflow in Imager 0.42 through 0.63 allows attackers to cause a denial of service (crash) via an image based fill in which the number of input channels is different from the number of output channels.
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