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The attack vector was identified as data injection into the firm’s commands framework
Monthly Archives: July 2023
USN-6233-1: YAJL vulnerabilities
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It was discovered that YAJL was not properly performing bounds checks when
decoding a string with escape sequences. If a user or automated system
using YAJL were tricked into processing specially crafted input, an
attacker could possibly use this issue to cause a denial of service
(application abort). (CVE-2017-16516)
It was discovered that YAJL was not properly handling memory allocation
when dealing with large inputs, which could lead to heap memory
corruption. If a user or automated system using YAJL were tricked into
running a specially crafted large input, an attacker could possibly use
this issue to cause a denial of service. (CVE-2022-24795)
It was discovered that memory leaks existed in one of the YAJL parsing
functions. An attacker could possibly use this issue to cause a denial of
service (memory exhaustion). (CVE-2023-33460)
CVE-2018-25088
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A vulnerability, which was classified as critical, was found in Blue Yonder postgraas_server up to 2.0.0b2. Affected is the function _create_pg_connection/create_postgres_db of the file postgraas_server/backends/postgres_cluster/postgres_cluster_driver.py of the component PostgreSQL Backend Handler. The manipulation leads to sql injection. Upgrading to version 2.0.0 is able to address this issue. The patch is identified as 7cd8d016edc74a78af0d81c948bfafbcc93c937c. It is recommended to upgrade the affected component. VDB-234246 is the identifier assigned to this vulnerability.
mingw-qt6-qtbase-6.5.1-2.fc38
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FEDORA-2023-364ae10761
Packages in this update:
mingw-qt6-qtbase-6.5.1-2.fc38
Update description:
Backport fix for CVE-2023-38197.
mingw-qt6-qtbase-6.5.1-2.fc37
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FEDORA-2023-ff372f9829
Packages in this update:
mingw-qt6-qtbase-6.5.1-2.fc37
Update description:
Backport fix for CVE-2023-38197.
USN-6235-1: Linux kernel (OEM) vulnerabilities
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It was discovered that the NTFS file system implementation in the Linux
kernel contained a null pointer dereference in some situations. A local
attacker could use this to cause a denial of service (system crash).
(CVE-2022-4842)
Jordy Zomer and Alexandra Sandulescu discovered that the Linux kernel did
not properly implement speculative execution barriers in usercopy functions
in certain situations. A local attacker could use this to expose sensitive
information (kernel memory). (CVE-2023-0459)
Seth Jenkins discovered that the CPU data to memory implementation for x86
processors in the Linux kernel did not properly perform address
randomization. A local attacker could use this to expose sensitive
information (kernel memory) or in conjunction with another kernel
vulnerability. (CVE-2023-0597)
It was discovered that the Human Interface Device (HID) support driver in
the Linux kernel contained a type confusion vulnerability in some
situations. A local attacker could use this to cause a denial of service
(system crash). (CVE-2023-1073)
It was discovered that the XFS file system implementation in the Linux
kernel did not properly perform metadata validation when mounting certain
images. An attacker could use this to specially craft a file system image
that, when mounted, could cause a denial of service (system crash).
(CVE-2023-2124)
Wei Chen discovered that the InfiniBand RDMA communication manager
implementation in the Linux kernel contained an out-of-bounds read
vulnerability. A local attacker could use this to cause a denial of service
(system crash). (CVE-2023-2176)
Xingyuan Mo and Gengjia Chen discovered that the io_uring subsystem in the
Linux kernel did not properly handle locking when IOPOLL mode is being
used. A local attacker could use this to cause a denial of service (system
crash). (CVE-2023-2430)
Hangyu Hua discovered that the Flower classifier implementation in the
Linux kernel contained an out-of-bounds write vulnerability. An attacker
could use this to cause a denial of service (system crash) or possibly
execute arbitrary code. (CVE-2023-35788, LP: #2023577)
It was discovered that for some Intel processors the INVLPG instruction
implementation did not properly flush global TLB entries when PCIDs are
enabled. An attacker could use this to expose sensitive information
(kernel memory) or possibly cause undesired behaviors. (LP: #2023220)
USN-6183-2: Bind vulnerability
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USN-6183-1 fixed vulnerabilities in Bind. This update provides the
corresponding updates for Ubuntu 14.04 LTS, Ubuntu 16.04 LTS and Ubuntu 18.04
LTS.
Original advisory details:
Shoham Danino, Anat Bremler-Barr, Yehuda Afek, and Yuval Shavitt discovered
that Bind incorrectly handled the cache size limit. A remote attacker could
possibly use this issue to consume memory, leading to a denial of service.
(CVE-2023-2828)
It was discovered that Bind incorrectly handled the recursive-clients
quota. A remote attacker could possibly use this issue to cause Bind to
crash, resulting in a denial of service. This issue only affected Ubuntu
22.04 LTS, Ubuntu 22.10, and Ubuntu 23.04. (CVE-2023-2911)
USN-6234-1: Linux kernel (Xilinx ZynqMP) vulnerability
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Hangyu Hua discovered that the Flower classifier implementation in the
Linux kernel contained an out-of-bounds write vulnerability. An attacker
could use this to cause a denial of service (system crash) or possibly
execute arbitrary code. (CVE-2023-35788, LP: #2023577)
It was discovered that for some Intel processors the INVLPG instruction
implementation did not properly flush global TLB entries when PCIDs are
enabled. An attacker could use this to expose sensitive information
(kernel memory) or possibly cause undesired behaviors. (LP: #2023220)
USN-6078-2: libwebp vulnerability
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USN-6078-1 fixed a vulnerability in libwebp. This update
provides the corresponding update for Ubuntu 16.04 LTS.
Original advisory details:
Irvan Kurniawan discovered that libwebp incorrectly handled certain memory
operations. If a user or automated system were tricked into opening a
specially crafted image file, a remote attacker could use this issue to
cause libwebp to crash, resulting in a denial of service, or possibly
execute arbitrary code.
Disabling Self-Driving Cars with a Traffic Cone
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You can disable a self-driving car by putting a traffic cone on its hood:
The group got the idea for the conings by chance. The person claims a few of them walking together one night saw a cone on the hood of an AV, which appeared disabled. They weren’t sure at the time which came first; perhaps someone had placed the cone on the AV’s hood to signify it was disabled rather than the other way around. But, it gave them an idea, and when they tested it, they found that a cone on a hood renders the vehicles little more than a multi-ton hunk of useless metal. The group suspects the cone partially blocks the LIDAR detectors on the roof of the car, in much the same way that a human driver wouldn’t be able to safely drive with a cone on the hood. But there is no human inside to get out and simply remove the cone, so the car is stuck.
Delightfully low-tech.