Security Bulletin: Vulnerability in SVGO bundled with IBM Fusion and IBM Fusion HCI, and IBM Fusion Content-Aware Storage

Summary IBM Fusion, IBM Fusion HCI, and IBM Fusion Content-Aware Storage include the SVGO library, which is affected by an XML entity expansion vulnerability. CVE-2026-29074 Vulnerability Details CVEID:CVE-2026-29074 DESCRIPTION: SVGO, short for SVG Optimizer, is a Node.js library and command-lin...

Security Bulletin: Vulnerability in undici bundled with IBM Fusion, IBM Fusion HCI, and IBM Fusion Content-Aware Storage

Summary IBM Fusion, IBM Fusion HCI, and IBM Fusion Content-Aware Storage include the undici library, which is affected by a denial of service vulnerability. CVE-2026-22036 Vulnerability Details CVEID:CVE-2026-22036 DESCRIPTION: Undici is an HTTP/1.1 client for Node.js. Prior to 7.18.0 and 6.23.0,...

Explaining Intrusion Alert Decisions of Deep Learning-Based Network Intrusion Detection Systems for Security Analysts

In this paper, we present EXP-SEC, a novel framework which can explain the intrusion detection decisions of DL-based NIDS which lead to security alerts in a way that is aligned with the domain knowledge of analysts working in Security Operations Center SOC. We highlight the following features of...

GNSS Spoofing Detection in TDD Networks: A 3GPP Standards-Based Security Framework

Time Division Duplex TDD mobile networks require synchronization accuracy of $\pm$1.5 $μ$s 3GPP TS 38.104, with GNSS-disciplined grandmaster clocks as the predominant timing source. GNSS spoofing -- now a documented operational threat -- can corrupt timing across all downstream base stations, yet...

MTD-Playground: An Attacker-Aware Evaluation Framework for Network Moving Target Defense

Moving Target Defense MTD has emerged as a proactive network cyber defense paradigm that increases attacker uncertainty through dynamic network reconfiguration techniques such as Software-Defined Networking SDN-enabled path randomization. However, existing evaluations remain fragmented due to...

Which Neurons Detect Malicious Code? A Probing Study of LLM Security Knowledge

Background. Large language models LLMs have become increasingly capable of understanding and generating source code, leading to their widespread adoption in software engineering tasks such as code completion, repair, and vulnerability detection. However, despite their strong empirical performance...

[SECURITY] Fedora 44 Update: python-pendulum-3.2.0-1.fc44

Unlike other datetime libraries for Python, Pendulum is a drop-in replacement for the standard datetime class it inherits from it, so, basically, you can replace all your datetime instances by DateTime instances in you code. It also removes the notion of naive datetimes: each Pendulum instance is...

awarc (>=0.0.1, <=0.0.4), lungs-segmentation (>=1.1.1, <=1.1.2) +1 more potentially affected by CVE-2026-59890 via setuptools (49.2.0)

setuptools PYPI version 49.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on setuptools and may be impacted: - awarc =0.0.1, =1.1.1, =0.0.14, =0.0.17 Source cves: CVE-2026-59890 Source advisory: OSV:PYSEC-2026-3447...

awesome-panel-extensions (>=20200722.1.0, <=20201022.1.0), dataprep (>=0.2.7, <=0.2.9) +2 more potentially affected by CVE-2026-21883 via bokeh (2.1.1)

bokeh PYPI version 2.1.1 is affected by a known vulnerability. The following packages have a transitive dependency on bokeh and may be impacted: - awesome-panel-extensions =20200722.1.0, =0.2.7, =0.3.0, =0.0.14, =0.0.17 Source cves: CVE-2026-21883 Source advisory: OSV:PYSEC-2026-1223...

awarc (>=0.0.1, <=0.0.4), lungs-segmentation (>=1.1.1, <=1.1.2) +1 more potentially affected by CVE-2024-6345 via setuptools (49.2.0)

setuptools PYPI version 49.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on setuptools and may be impacted: - awarc =0.0.1, =1.1.1, =0.0.14, =0.0.17 Source cves: CVE-2024-6345 Source advisory: OSV:PYSEC-2026-1918...

SA-DRL: Security-Aware Deep Reinforcement Learning for Ransomware Detection with Asymmetric Reward Design

Ransomware detection is a security-critical task in which false negatives and false positives have unequal operational consequences. Conventional machine learning detectors often use symmetric objectives that penalize missed ransomware detections and benign false alarms equally, although a false...

From Regression to Prior-Aware Inference: Solving the ILWE Family in Randomness Leakage Attacks against ML-DSA

ML-DSA is a representative lattice-based signature scheme standardized by NIST. It relies on signing randomness and rejection sampling to ensure that released signatures are statistically independent of the secret key. Practical implementations, however, may leak partial information about this...

Security Bulletin: Vulnerability in golang.org/x/net package bundled with IBM Fusion, IBM Fusion HCI, IBM Fusion Data Cataloging and IBM Fusion Content-Aware Storage

Summary IBM Fusion, IBM Fusion HCI, IBM Fusion Data Cataloging and IBM Fusion Content-Aware Storage include the golang.org/x/net package. It cause a running server to panic. CVE-2026-27141 Vulnerability Details CVEID:CVE-2026-27141 DESCRIPTION: Due to missing nil check, sending 0x0a-0x0f HTTP/2...

Security Bulletin: Vulnerability in Pillow package bundled with IBM Fusion, IBM Fusion HCI, IBM Fusion Data Cataloging and IBM Fusion Content-Aware Storage

Summary IBM Fusion, IBM Fusion HCI, IBM Fusion Data Cataloging and IBM Fusion Content-Aware Storage include Pillow library, which is susceptible to out-of-bound write, DoS vulnerabilities CVE-2026-25990, CVE-2026-40192. Vulnerability Details CVEID:CVE-2026-25990 DESCRIPTION: Pillow is a Python...

LifeOS 6.0.5

LifeOS is a Life Operating System. It knows your goals, the people who matter to you, and where you are right now, and it works to move you toward where you want to be. The engine underneath is a verifiable loop: turn any request into testable criteria, then climb until they pass. This is the fir...

Agentic SABRE: An Uncertainty-Aware Neuro-Symbolic Multi-Agent Framework for Adaptive Ransomware Detection

Ransomware has evolved into a complex, adaptive, and fast-moving adversary category in which static signatures and monolithic classifiers fail to generalise under concept drift, evasion, and behavioural polymorphism. In this paper, we present Agentic SABRE Semantic-Behavioural Arbitration for...

LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection

Malicious Python packages have become a major threat to software supply chain ecosystems due to the widespread adoption of open-source repositories such as PyPI. Existing learning-based detection methods struggle to capture the hierarchical organization and heterogeneous interactions among...

PT-2026-55395

Summary The public web-client endpoint for partial ZIP downloads of a browsable share did not correctly confine the client-supplied files entries to the shared directory. A requester able to reach a public share could read files located outside the shared directory, as long as the target's...

(A)I Sees What You Don't: Exploiting New Attack Surfaces in Third-Party Mobile Agents

Third-party mobile agents powered by Vision-Language Models VLMs have emerged as a promising paradigm for automating smartphone interactions. These agents act as high-privilege decision-makers, perceiving device states through screenshots and executing actions via VLM reasoning, transforming how ...

Security Bulletin: Vulnerability in github.com/jackc/pgx/v5 bundled with IBM Fusion, IBM Fusion HCI, IBM Fusion Content-Aware Storage

Summary IBM Fusion, IBM Fusion HCI, IBM Fusion Content-Aware Storage include github.com/jackc/pgx/v5. It is vulnerable to memory-safety vulnerability. CVE-2026-33816 Vulnerability Details CVEID:CVE-2026-33816 DESCRIPTION: Memory-safety vulnerability in github.com/jackc/pgx/v5. CVSS Source: CISA A...