Alibaba Cloud Linux 3 : 0012: python-pillow (ALINUX3-SA-2022:0012)

critical Nessus Plugin ID 236661

Synopsis

The remote Alibaba Cloud Linux host is missing one or more security updates.

Description

The remote Alibaba Cloud Linux 3 host has packages installed that are affected by multiple vulnerabilities as referenced in the ALINUX3-SA-2022:0012 advisory.

Package updates are available for Alibaba Cloud Linux 3 that fix the following vulnerabilities:

CVE-2019-16865:
An issue was discovered in Pillow before 6.2.0. When reading specially crafted invalid image files, the library can either allocate very large amounts of memory or take an extremely long period of time to process the image.

CVE-2020-11538:
In libImaging/SgiRleDecode.c in Pillow through 7.0.0, a number of out-of-bounds reads exist in the parsing of SGI image files, a different issue than CVE-2020-5311.

CVE-2020-35655:
In Pillow before 8.1.0, SGIRleDecode has a 4-byte buffer over-read when decoding crafted SGI RLE image files because offsets and length tables are mishandled.

CVE-2020-5311:
libImaging/SgiRleDecode.c in Pillow before 6.2.2 has an SGI buffer overflow.

CVE-2020-5313:
libImaging/FliDecode.c in Pillow before 6.2.2 has an FLI buffer overflow.

CVE-2021-27921:
Pillow before 8.1.1 allows attackers to cause a denial of service (memory consumption) because the reported size of a contained image is not properly checked for a BLP container, and thus an attempted memory allocation can be very large.

CVE-2021-27923:
Pillow before 8.1.1 allows attackers to cause a denial of service (memory consumption) because the reported size of a contained image is not properly checked for an ICO container, and thus an attempted memory allocation can be very large.

CVE-2021-28676:
An issue was discovered in Pillow before 8.2.0. For FLI data, FliDecode did not properly check that the block advance was non-zero, potentially leading to an infinite loop on load.

CVE-2021-28678:
An issue was discovered in Pillow before 8.2.0. For BLP data, BlpImagePlugin did not properly check that reads (after jumping to file offsets) returned data. This could lead to a DoS where the decoder could be run a large number of times on empty data.

CVE-2021-34552:
Pillow through 8.2.0 and PIL (aka Python Imaging Library) through 1.1.7 allow an attacker to pass controlled parameters directly into a convert function to trigger a buffer overflow in Convert.c.

CVE-2022-22816:
path_getbbox in path.c in Pillow before 9.0.0 has a buffer over-read during initialization of ImagePath.Path.

CVE-2020-35653:
In Pillow before 8.1.0, PcxDecode has a buffer over-read when decoding a crafted PCX file because the user-supplied stride value is trusted for buffer calculations. A flaw was found in python-pillow. The PcxDecode in Pillow has a buffer over-read when decoding a crafted PCX file due to the user-supplied stride value trusted for buffer calculations. The highest threat from this vulnerability is to system availability.

CVE-2021-25287:
An issue was discovered in Pillow before 8.2.0. There is an out-of-bounds read in J2kDecode, in j2ku_graya_la. There is an out-of-bounds read in J2kDecode in j2ku_graya_la. For J2k images with multiple bands, its legal to have different widths for each band, e.g. 1 byte for L, 4 bytes for A.

CVE-2021-25288:
An issue was discovered in Pillow before 8.2.0. There is an out-of-bounds read in J2kDecode, in j2ku_gray_i.There is an out-of-bounds read in J2kDecode in j2ku_gray_i. For J2k images with multiple bands, its legal to have different widths for each band, e.g. 1 byte for L, 4 bytes for A.

CVE-2021-25290:
An issue was discovered in Pillow before 8.1.1. In TiffDecode.c, there is a negative-offset memcpy with an invalid size. A flaw was found in python-pillow. In TiffDecode.c, there is a negative-offset memcpy with an invalid size which could lead to a system crash.

CVE-2021-25292:
An issue was discovered in Pillow before 8.1.1. The PDF parser allows a regular expression DoS (ReDoS) attack via a crafted PDF file because of a catastrophic backtracking regex. A flaw was found in python- pillow. The PDF parser has a catastrophic backtracking regex that could be used as a DOS attack.

CVE-2021-25293:
An issue was discovered in Pillow before 8.1.1. There is an out-of-bounds read in SGIRleDecode.c. A flaw was found in python-pillow. There is an Out of Bounds Read in SGIRleDecode.c.

CVE-2021-27922:
Pillow before 8.1.1 allows attackers to cause a denial of service (memory consumption) because the reported size of a contained image is not properly checked for an ICNS container, and thus an attempted memory allocation can be very large. A flaw was found in python-pillow. Attackers can cause a denial of service (memory consumption) because the reported size of a contained image is not properly checked for an ICNS container, and thus an attempted memory allocation can be very large.

CVE-2021-28675:
An issue was discovered in Pillow before 8.2.0. PSDImagePlugin.PsdImageFile lacked a sanity check on the number of input layers relative to the size of the data block. This could lead to a DoS on Image.open prior to Image.load. A flaw was found in python-pillow. PsdImagePlugin.PsdImageFile does not sanity check the number of input layers with regard to the size of the data block which could lead to a denial-of- service.

CVE-2021-28677 An issue was discovered in Pillow before 8.2.0. For EPS data, the readline implementation used in EPSImageFile has to deal with any combination of \r and \n as line endings. It used an accidentally quadratic method of accumulating lines while looking for a line ending. A malicious EPS file could use this to perform a DoS of Pillow in the open phase, before an image was accepted for opening. A flaw was found in python-pillow. The readline used in EPS has to deal with any combination of \r and \n as line endings. It accidentally used a quadratic method of accumulating lines while looking for a line ending. A malicious EPS file could use this to perform a denial-of-service of Pillow in the open phase, before an image was accepted for opening.

CVE-2022-22817:
PIL.ImageMath.eval in Pillow before 9.0.0 allows evaluation of arbitrary expressions, such as ones that use the Python exec method.

Tenable has extracted the preceding description block directly from the Alibaba Cloud Linux security advisory.

Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version number.

Solution

Update the affected packages.

Plugin Details

Severity: Critical

ID: 236661

File Name: alinux3_sa_2022-0012.nasl

Version: 1.1

Type: local

Family: Alibaba Cloud Linux Local Security Checks

Published: 5/14/2025

Updated: 5/14/2025

Supported Sensors: Nessus

Risk Information

VPR

Risk Factor: Medium

Score: 6.7

CVSS v2

Risk Factor: High

Base Score: 7.5

Temporal Score: 5.9

Vector: CVSS2#AV:N/AC:L/Au:N/C:P/I:P/A:P

CVSS Score Source: CVE-2022-22817

CVSS v3

Risk Factor: Critical

Base Score: 9.8

Temporal Score: 8.8

Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Temporal Vector: CVSS:3.0/E:P/RL:O/RC:C

CVSS v4

Risk Factor: Critical

Base Score: 9.3

Threat Score: 8.9

Threat Vector: CVSS:4.0/E:P

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Vulnerability Information

CPE: cpe:/o:alibabacloud:alibaba_cloud_linux_3, p-cpe:/a:alibabacloud:alibaba_cloud_linux_3:python3-pillow-debuginfo, p-cpe:/a:alibabacloud:alibaba_cloud_linux_3:python3-pillow-devel, p-cpe:/a:alibabacloud:alibaba_cloud_linux_3:python-pillow-debugsource, p-cpe:/a:alibabacloud:alibaba_cloud_linux_3:python3-pillow-doc, p-cpe:/a:alibabacloud:alibaba_cloud_linux_3:python3-pillow, p-cpe:/a:alibabacloud:alibaba_cloud_linux_3:python3-pillow-tk-debuginfo, p-cpe:/a:alibabacloud:alibaba_cloud_linux_3:python3-pillow-tk, p-cpe:/a:alibabacloud:alibaba_cloud_linux_3:python-pillow-debuginfo

Required KB Items: Host/local_checks_enabled, Host/cpu, Host/Alibaba/release, Host/Alibaba/rpm-list

Exploit Available: true

Exploit Ease: Exploits are available

Patch Publication Date: 2/24/2022

Vulnerability Publication Date: 10/4/2019

Reference Information

CVE: CVE-2019-16865, CVE-2020-11538, CVE-2020-35653, CVE-2020-35655, CVE-2020-5311, CVE-2020-5313, CVE-2021-25287, CVE-2021-25288, CVE-2021-25290, CVE-2021-25292, CVE-2021-25293, CVE-2021-27921, CVE-2021-27922, CVE-2021-27923, CVE-2021-28675, CVE-2021-28676, CVE-2021-28677, CVE-2021-28678, CVE-2021-34552, CVE-2022-22816, CVE-2022-22817

Detections

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