| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| Pillow is a Python imaging library. From 5.1.0 until 13.0.0, Pillow's PdfParser.get_value() can recurse without a limit while reading nested PDF objects. The parser follows attacker-controlled arrays and dictionaries when an existing PDF is opened for append. An attacker can provide a deeply nested PDF to an application that saves an image with PDF append enabled. This can raise an uncaught RecursionError or terminate the worker, causing denial of service. This issue is fixed in version 13.0.0. |
| Pillow is a Python imaging library. From 12.0.0 until 13.0.0, Pillow's Image.merge() can dereference a null image8 plane. Validation skips the first input band, allowing a 32-bit integer or floating-point image backed by image32 storage to be merged as a narrower multiband image. A crafted IPTC file can reach this path when an application opens and loads it, or a caller can invoke Image.merge() directly with such a first band. This causes a native process crash. This issue is fixed in version 13.0.0. |
| Pillow is a Python imaging library. From 8.1.0 until 13.0.0, Pillow's TIFF tile and RGBA decode paths can read beyond row data produced by libtiff. In _decodeTile and the RGBA unpacker path, when Pillow and libtiff interpret duplicated PhotometricInterpretation or BitsPerSample tags differently, Pillow does not verify that the required input row fits inside the row libtiff produced, while the strip path has this validation. Loading pixels from such a crafted TIFF can expose adjacent heap data in output pixels or crash the process. This issue is fixed in version 13.0.0. |
| TP-Link Tapo
C210 V3.60 may expose shared credential material and cryptographic metadata
through unauthenticated DS JSON API requests. The exposed shared credential can
be accepted by the Streamd Digest authentication mechanism as an administrative
password, allowing an unauthenticated adjacent-network attacker to establish
encrypted media sessions without knowledge of the device account
password.
Successful
exploitation may disclose credential and cryptographic material and allow
unauthorized access to encrypted media sessions. |
| TP-Link Tapo
C210 V3.60 contains an authentication bypass vulnerability in the DS JSON API.
A crafted JSON request containing both a protected operation and public
onboarding-related fields may cause module-level authorization checks to be
applied inconsistently, allowing protected camera operations, including
pan-tilt-zoom control, to be executed without a valid authenticated
session.
Successful
exploitation may allow an unauthenticated attacker on the adjacent network to
perform protected camera operations, including pan-tilt-zoom (PTZ) control,
without a valid authenticated session. This could result in unauthorized
manipulation of camera functionality. |
| Pillow is a Python imaging library. Prior to 13.0.0, Pillow's JPEG decoder can write a full-width scanline into a buffer sized for a requested draft scale. ImagingJpegDecode does not verify libjpeg's actual output width and component count after scaling is requested, and an 8-bit lossless SOF3 JPEG decoded by a build linked to libjpeg-turbo 3.x can ignore the requested downscaling geometry. An attacker can supply such a JPEG to an application that uses draft() or thumbnail() to request downscaling. This can corrupt heap memory, crash the process, or potentially allow code execution. Older libjpeg-turbo 2.x and IJG builds reject the SOF3 input. This issue is fixed in version 13.0.0. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
| This candidate was in a CNA pool that was not assigned to any issues. |
