Read Time:7 Second
FEDORA-2023-220878f1bf
Packages in this update:
mingw-LibRaw-0.20.2-8.fc36
Update description:
Backport fix for CVE-2021-32142
Monthly Archives: March 2023
USN-5931-1: Python vulnerability
Read Time:12 Second
It was discovered that Python incorrectly handled certain inputs. If a
user or an automated system were tricked into running a specially
crafted input, a remote attacker could possibly use this issue to execute
arbitrary code. (CVE-2022-37454)
Prompt Injection Attacks on Large Language Models
Read Time:1 Minute, 27 Second
This is a good survey on prompt injection attacks on large language models (like ChatGPT).
Abstract: We are currently witnessing dramatic advances in the capabilities of Large Language Models (LLMs). They are already being adopted in practice and integrated into many systems, including integrated development environments (IDEs) and search engines. The functionalities of current LLMs can be modulated via natural language prompts, while their exact internal functionality remains implicit and unassessable. This property, which makes them adaptable to even unseen tasks, might also make them susceptible to targeted adversarial prompting. Recently, several ways to misalign LLMs using Prompt Injection (PI) attacks have been introduced. In such attacks, an adversary can prompt the LLM to produce malicious content or override the original instructions and the employed filtering schemes. Recent work showed that these attacks are hard to mitigate, as state-of-the-art LLMs are instruction-following. So far, these attacks assumed that the adversary is directly prompting the LLM.
In this work, we show that augmenting LLMs with retrieval and API calling capabilities (so-called Application-Integrated LLMs) induces a whole new set of attack vectors. These LLMs might process poisoned content retrieved from the Web that contains malicious prompts pre-injected and selected by adversaries. We demonstrate that an attacker can indirectly perform such PI attacks. Based on this key insight, we systematically analyze the resulting threat landscape of Application-Integrated LLMs and discuss a variety of new attack vectors. To demonstrate the practical viability of our attacks, we implemented specific demonstrations of the proposed attacks within synthetic applications. In summary, our work calls for an urgent evaluation of current mitigation techniques and an investigation of whether new techniques are needed to defend LLMs against these threats.
stargz-snapshotter-0.14.2-1.fc38
Read Time:23 Second
FEDORA-2023-62ce942e75
Packages in this update:
stargz-snapshotter-0.14.2-1.fc38
Update description:
Release of stargz snapshotter v0.14.2 https://github.com/containerd/stargz-snapshotter/releases/tag/v0.14.2
This release uses containerd v1.7.0-rc.1 so this release fixes GHSA-hmfx-3pcx-653p (CVE-2023-25173) and GHSA-259w-8hf6-59c2 (CVE-2023-25153).
This release uses Go 1.20.1 so this release fixes CVE-2022-41717 .
USN-5930-1: Python vulnerability
Read Time:12 Second
It was discovered that Python incorrectly handled certain inputs. If a
user or an automated system were tricked into running a specially
crafted input, a remote attacker could possibly use this issue to execute
arbitrary code. (CVE-2022-37454)
Akamai releases new threat hunting tool backed by Guardicore capabilities
Read Time:21 Second
Akamai on Tuesday launched Akamai Hunt, a visibility tool that uses the infrastructure of microsegmentation platform Guardicore to allow customers to identify and remediate threats and risks in their cloud environments.
Akamai acquired Guardicore in October 2022 for about $600 million. Akamai Hunt combines Akamai’s historic data with Guardicore’s network segmentation and visualization capabilities to help identify and eliminate threats.
stargz-snapshotter-0.14.2-1.fc37
Read Time:24 Second
FEDORA-2023-ee472c698c
Packages in this update:
stargz-snapshotter-0.14.2-1.fc37
Update description:
Release of stargz snapshotter v0.14.2 https://github.com/containerd/stargz-snapshotter/releases/tag/v0.14.2
This release uses containerd v1.7.0-rc.1 which contains the fix for GHSA-hmfx-3pcx-653p (CVE-2023-25173) and GHSA-259w-8hf6-59c2 (CVE-2023-25153).
This release uses Go 1.20.1 which fixes CVE-2022-41717 .
auto bump to v0.14.1
LSN-0092-1: Kernel Live Patch Security Notice
Read Time:38 Second
Kyle Zeng discovered that the sysctl implementation in the Linux kernel
contained a stack-based buffer overflow. A local attacker could use this to
cause a denial of service (system crash) or execute arbitrary code.(CVE-2022-4378)
Tamás Koczka discovered that the Bluetooth L2CAP handshake implementation
in the Linux kernel contained multiple use-after-free vulnerabilities. A
physically proximate attacker could use this to cause a denial of service
(system crash) or possibly execute arbitrary code.(CVE-2022-42896)
It was discovered that the NFSD implementation in the Linux kernel did not
properly handle some RPC messages, leading to a buffer overflow. A remote
attacker could use this to cause a denial of service (system crash) or
possibly execute arbitrary code.(CVE-2022-43945)
Russian Disinformation Campaign Records High-Profile Individuals on Camera
Read Time:6 Second
Proofpoint has detailed a sophisticated disinformation campaign in which high-profile individuals are duped into embarrassing comments on video
USN-5929-1: Linux kernel (Raspberry Pi) vulnerabilities
Read Time:3 Minute, 7 Second
It was discovered that the Upper Level Protocol (ULP) subsystem in the
Linux kernel did not properly handle sockets entering the LISTEN state in
certain protocols, leading to a use-after-free vulnerability. A local
attacker could use this to cause a denial of service (system crash) or
possibly execute arbitrary code. (CVE-2023-0461)
Davide Ornaghi discovered that the netfilter subsystem in the Linux kernel
did not properly handle VLAN headers in some situations. A local attacker
could use this to cause a denial of service (system crash) or possibly
execute arbitrary code. (CVE-2023-0179)
It was discovered that the NVMe driver in the Linux kernel did not properly
handle reset events in some situations. A local attacker could use this to
cause a denial of service (system crash). (CVE-2022-3169)
Maxim Levitsky discovered that the KVM nested virtualization (SVM)
implementation for AMD processors in the Linux kernel did not properly
handle nested shutdown execution. An attacker in a guest vm could use this
to cause a denial of service (host kernel crash) (CVE-2022-3344)
Gwangun Jung discovered a race condition in the IPv4 implementation in the
Linux kernel when deleting multipath routes, resulting in an out-of-bounds
read. An attacker could use this to cause a denial of service (system
crash) or possibly expose sensitive information (kernel memory).
(CVE-2022-3435)
It was discovered that a race condition existed in the Kernel Connection
Multiplexor (KCM) socket implementation in the Linux kernel when releasing
sockets in certain situations. A local attacker could use this to cause a
denial of service (system crash). (CVE-2022-3521)
It was discovered that the Netronome Ethernet driver in the Linux kernel
contained a use-after-free vulnerability. A local attacker could use this
to cause a denial of service (system crash) or possibly execute arbitrary
code. (CVE-2022-3545)
It was discovered that the Intel i915 graphics driver in the Linux kernel
did not perform a GPU TLB flush in some situations. A local attacker could
use this to cause a denial of service or possibly execute arbitrary code.
(CVE-2022-4139)
It was discovered that the NFSD implementation in the Linux kernel
contained a use-after-free vulnerability. A remote attacker could possibly
use this to cause a denial of service (system crash) or execute arbitrary
code. (CVE-2022-4379)
It was discovered that a race condition existed in the x86 KVM subsystem
implementation in the Linux kernel when nested virtualization and the TDP
MMU are enabled. An attacker in a guest vm could use this to cause a denial
of service (host OS crash). (CVE-2022-45869)
It was discovered that the Atmel WILC1000 driver in the Linux kernel did
not properly validate the number of channels, leading to 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-2022-47518)
It was discovered that the Atmel WILC1000 driver in the Linux kernel did
not properly validate specific attributes, leading to 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-2022-47519)
It was discovered that the Atmel WILC1000 driver in the Linux kernel did
not properly validate offsets, leading to an out-of-bounds read
vulnerability. An attacker could use this to cause a denial of service
(system crash). (CVE-2022-47520)
It was discovered that the Atmel WILC1000 driver in the Linux kernel did
not properly validate specific attributes, leading to a heap-based buffer
overflow. An attacker could use this to cause a denial of service (system
crash) or possibly execute arbitrary code. (CVE-2022-47521)