| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| An exploitable buffer overflow vulnerability exists in the samsungWifiScan handler of video-core's HTTP server of Samsung SmartThings Hub STH-ETH-250 - Firmware version 0.20.17. The video-core process incorrectly extracts fields from a user-controlled JSON payload, leading to a buffer overflow on the stack. The strcpy at [8] overflows the destination buffer, which has a size of 40 bytes. An attacker can send an arbitrarily long 'callbackUrl' value in order to exploit this vulnerability. |
| On Samsung SmartThings Hub STH-ETH-250 devices with firmware version 0.20.17, the video-core process incorrectly extracts fields from a user-controlled JSON payload, leading to a buffer overflow on the stack. An attacker can send an HTTP request to trigger this vulnerability. A strcpy overflows the destination buffer, which has a size of 40 bytes. An attacker can send an arbitrarily long "user" value in order to exploit this vulnerability. |
| A specially crafted TIFF image processed via the application can lead to an out-of-bounds write, overwriting |
| A specially crafted TIFF image processed via the application can lead to an out-of-bounds write, overwriting arbitrary data. An attacker can deliver a TIFF image to trigger this vulnerability and gain code execution. |
| An exploitable out-of-bounds write exists in the TIFF parsing functionality of Canvas Draw version 4.0.0. A specially crafted TIFF image processed via the application can lead to an out-of-bounds write, overwriting arbitrary data. An attacker can deliver a TIFF image to trigger this vulnerability and gain the ability to execute code. A different vulnerability than CVE-2018-3859. |
| An exploitable out-of-bounds write exists in the TIFF parsing functionality of Canvas Draw version 4.0.0. A specially crafted TIFF image processed via the application can lead to an out-of-bounds write, overwriting arbitrary data. An attacker can deliver a TIFF image to trigger this vulnerability and gain code execution. A different vulnerability than CVE-2018-3860. |
| An exploitable heap overflow exists in the TIFF parsing functionality of Canvas Draw version 4.0.0. A specially crafted TIFF image processed via the application can lead to an out-of-bounds write, overwriting arbitrary data. An attacker can deliver a TIFF image to trigger this vulnerability and gain the ability to execute code. A different vulnerability than CVE-2018-3857. |
| An exploitable heap overflow exists in the TIFF parsing functionality of Canvas Draw version 4.0.0. A specially crafted TIFF image processed via the application can lead to an out-of-bounds write, overwriting arbitrary data. An attacker can deliver a TIFF image to trigger this vulnerability and gain code execution. A different vulnerability than CVE-2018-3858. |
| In Hyland Perceptive Document Filters 11.4.0.2647 - x86/x64 Windows/Linux, an exploitable stack-based buffer overflow exists in the DOC-to-HTML conversion functionality of the Hyland Perceptive Document Filters version 11.4.0.2647. A crafted .doc document can lead to a stack-based buffer, resulting in direct code execution. |
| In the ffghtb function in NASA CFITSIO 3.42, specially crafted images parsed via the library can cause a stack-based buffer overflow overwriting arbitrary data. An attacker can deliver an FIT image to trigger this vulnerability and potentially gain code execution. |
| In the ffghbn function in NASA CFITSIO 3.42, specially crafted images parsed via the library can cause a stack-based buffer overflow overwriting arbitrary data. An attacker can deliver an FIT image to trigger this vulnerability and potentially gain code execution. |
| Multiple exploitable buffer overflow vulnerabilities exist in image parsing functionality of the CFITSIO library version 3.42. Specially crafted images parsed via the library, can cause a stack-based buffer overflow overwriting arbitrary data. An attacker can deliver an FIT image to trigger this vulnerability and potentially gain code execution. |
| In the ffgphd and ffgtkn functions in NASA CFITSIO 3.42, specially crafted images parsed via the library can cause a stack-based buffer overflow overwriting arbitrary data. An attacker can deliver an FIT image to trigger this vulnerability and potentially gain code execution. |
| An exploitable type confusion vulnerability exists in the way Foxit PDF Reader version 9.0.1.1049 parses files with associated file annotations. A specially crafted PDF document can lead to an object of invalid type to be dereferenced, which can potentially lead to sensitive memory disclosure, and possibly to arbitrary code execution. An attacker needs to trick the user into opening the malicious file to trigger this vulnerability. If the browser plugin extension is enabled, visiting a malicious site can also trigger the vulnerability. |
| An exploitable code execution vulnerability exists in the XCF image rendering functionality of Simple DirectMedia Layer SDL2_image-2.0.2. A specially crafted XCF image can cause an out-of-bounds write on the heap, resulting in code execution. An attacker can display a specially crafted image to trigger this vulnerability. |
| An exploitable command injection vulnerability exists in the gplotMakeOutput function of Leptonica 1.74.4. A specially crafted gplot rootname argument can cause a command injection resulting in arbitrary code execution. An attacker can provide a malicious path as input to an application that passes attacker data to this function to trigger this vulnerability. |
| An exploitable out of bounds write vulnerability exists in version 2.2 of the Per Face Texture mapping application known as PTEX. The vulnerability is present in the reading of a file without proper parameter checking. The value read in, is not verified to be valid and its use can lead to a buffer overflow, potentially resulting in code execution. |
| Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting (XSS) vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users. |
| X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive information from or perform destructive actions on behalf of that other ML user. |
| X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting (XSS) vulnerability. Users with manage_ml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructive actions on behalf of other ML users viewing the results of the jobs. |
