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ZDI-26-636: Oracle Outside In Technology PostScript File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability

ZDI disclosed a heap-based buffer overflow in Oracle Outside In Technology's PostScript parsing (CVE-2026-60412) enabling user-triggered remote code execution.

Zero Day Initiative published ZDI-26-636, a CVSS 7.8 heap-based buffer overflow in PostScript file parsing within Oracle Outside In Technology. Remote attackers can execute arbitrary code when the target opens a malicious file or visits a malicious page, making user interaction a requirement. The vulnerability is tracked as CVE-2026-60412. The advisory reports no exploitation.

ZDI-26-639: Oracle VirtualBox VMSVGA Heap-based Buffer Overflow Local Privilege Escalation Vulnerability

ZDI disclosed a heap-based buffer overflow in Oracle VirtualBox's VMSVGA component (CVE-2026-71116) enabling local privilege escalation.

Zero Day Initiative published ZDI-26-639, a CVSS 7.5 heap-based buffer overflow in the VMSVGA component of Oracle VirtualBox. Local attackers who already execute high-privileged code on the guest system can leverage the flaw to escalate privileges on affected installations. The vulnerability is tracked as CVE-2026-71116. No exploitation is reported.

Quantile-based Loss Filtering for Outlier-Robust Stochastic Gradient Descent

Quantile-k-Loss SGD filters corrupted component losses by quantile sampling, proving linear convergence while outperforming standard and min-k-loss SGD.

The paper proposes Quantile-k-Loss SGD (Q(k)L-SGD), a loss-filtering framework for finite-sum optimization with corrupted components that samples k losses per iteration and updates using an index from the lower empirical q-quantile. The authors prove linear convergence under standard convexity, requiring sample size to scale with the number of corruptions, plus a complementary small-sample probabilistic analysis. Experiments on polynomial regression, regularized logistic regression, and hinge loss show intermediate quantiles often outperform both standard SGD and min-k-loss SGD.

arXiv cs.AI / cs.LG / cs.CL · 5d agoAI research

Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support

A retrospective study found GPT-4 over-flagged emergency department revisit cases while an LLM knowledge-graph screener achieved 83-100% positive predictive value.

In an exploratory retrospective study of 99 emergency department diagnosis pairs from a multihospital health system, clinicians and GPT-4 independently judged whether revisit pairs warranted further assessment. GPT-4 responses correlated poorly with clinicians, flagging 94% of pairs for follow-up, 4.4-13.3 times more than clinicians, though prompt engineering was minimal. An algorithm leveraging an LLM-populated knowledge graph (KGA) achieved 83-100% positive predictive value against at least one clinician rater, suggesting LLM-based screening could broaden revisit quality review without substantially increasing reviewer workload.

arXiv cs.AI / cs.LG / cs.CL · 7d agoAI research1

Subgroup Membership Inference Audits of Differentially Private Synthetic Text

Audits of 32 differentially private synthetic-text releases show subgroup membership leakage is concentrated in few records and systematically underestimated by average-case attacks.

The paper defines a subgroup-targeted membership inference game in which the target pool is an explicit parameter, to audit residual leakage in differentially private synthetic text releases. The audit instantiates 32 proxies across four datasets, three generators (DP-SGD fine-tuning, API-based prompting, and activation steering), and five privacy budgets. DP substantially reduces average leakage at every budget, but remaining leakage is concentrated: roughly a tenth of records carries about 40% of it, and the noise removes more measured leakage from random records than from high-risk ones. Which records leak depends on the release mechanism, so record-level risk cannot be assessed independently of the release.

arXiv cs.CR · 7d agoResearch

USN-8731-1: MiniUPnPd vulnerability

Ubuntu issued USN-8731-1 fixing a MiniUPnPd integer underflow allowing remote DoS or information disclosure via malformed SOAPAction headers.

Ubuntu released USN-8731-1 to address an integer underflow vulnerability in MiniUPnPd's SOAPAction header parsing. A remote attacker could send a malformed SOAPAction header containing a single quote to trigger a denial of service or information disclosure. MiniUPnPd is a lightweight UPnP daemon widely deployed on routers and gateways.

Ubuntu Security Notices · 9d agoAdvisory1

ZDI-26-633: GIMP PSP File Parsing Integer Overflow Remote Code Execution Vulnerability

ZDI disclosed a CVSS 7.8 integer overflow in GIMP's PSP file parser that enables remote code execution when users open malicious files.

ZDI published advisory ZDI-26-633 for an integer overflow in GIMP's parsing of PSP image files. Remote attackers can execute arbitrary code, but exploitation requires user interaction such as opening a malicious file. ZDI assigned CVSS 7.8 and the issue is tracked as CVE-2026-4153.

ZDI-26-684: Linux Kernel KSMBD Query Directory Request Race Condition Remote Code Execution Vulnerability

ZDI discloses CVE-2026-64397, a CVSS 9.0 unauthenticated remote code execution race condition in Linux Kernel KSMBD.

ZDI-26-684 describes a race condition in the Linux Kernel KSMBD subsystem's Query Directory Request handling that allows unauthenticated remote attackers to execute arbitrary code. Only systems with KSMBD enabled are vulnerable. ZDI assigned a CVSS rating of 9.0 and CVE-2026-64397.

ZDI-26-593: NVIDIA TensorRT ONNX File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability

ZDI disclosed a second TensorRT heap-based buffer overflow RCE (CVE-2026-24268, CVSS 7.8) in ONNX file parsing, requiring user interaction.

The Zero Day Initiative published advisory ZDI-26-593 covering another heap-based buffer overflow in NVIDIA TensorRT's ONNX file parsing. A remote attacker can execute arbitrary code if the target opens a malicious file or visits a crafted page. ZDI rated the vulnerability CVSS 7.8 and assigned CVE-2026-24268.

ZDI-26-693: Linux Kernel ksmbd Share Configuration Race Condition Remote Code Execution Vulnerability

ZDI-26-693: authenticated race condition in Linux kernel ksmbd share configuration allows remote code execution on ksmbd-enabled systems; CVSS 8.5.

ZDI advisory ZDI-26-693 discloses a race condition in the Linux kernel's ksmbd share configuration that allows remote attackers to execute arbitrary code on affected installations. Exploitation requires authentication, and only systems with ksmbd enabled are vulnerable. ZDI assigned a CVSS rating of 8.5; no CVE is listed in the advisory text.

ZDI Published Advisories · 2d agoVulnerability1

ZDI-26-591: NVIDIA TensorRT ONNX File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability

ZDI disclosed a heap-based buffer overflow RCE (CVE-2026-24272, CVSS 7.8) in NVIDIA TensorRT ONNX parsing, requiring user interaction to exploit.

The Zero Day Initiative published advisory ZDI-26-591 covering a heap-based buffer overflow in NVIDIA TensorRT's ONNX file parsing. Successful exploitation allows remote code execution when a user opens a malicious ONNX file or visits a crafted page. ZDI rated the vulnerability CVSS 7.8 and assigned CVE-2026-24272.

The GNU C Library security advisory update for 2026-09-10

glibc advisory GLIBC-SA-2026-0016: nscd can crash from a stack overflow when an untrusted DNS server returns oversized responses.

A new GNU C Library advisory (GLIBC-SA-2026-0016) describes a stack overflow in the nscd service caused by unbounded alloca use. glibc 2.3.4 and newer may crash when a malicious DNS server returns an oversized response, resulting in degraded DNS resolution. Exploitation requires nscd to be enabled and the system to be using an untrusted DNS server. The advisory was posted to oss-security by glibc maintainer Siddhesh Poyarekar.

oss-securityupdated · 2d agofirst · 5d agoVulnerability 2 sources2

Rethinking Heterogeneous System Disaggregation for Subquadratic Attention

SQD disaggregates LLM inference by quadratic versus subquadratic attention layers, improving energy efficiency up to 56% on heterogeneous systems versus GPU-only baselines.

SQD (SubQuadratic Disaggregation) splits decode not by operator type but by quadratic versus subquadratic attention, matching their distinct arithmetic intensity and memory footprints. For sparse attention LLMs it separates top-k selection (requiring full KV indexing) from top-k attention plus FFN; for linear and sliding-window models it separates dense attention layers from subquadratic layers plus FFN. On an adjusted 8xB200 heterogeneous proxy, tokens-per-joule improves 53% on GLM 5.2, 31% on Nemotron 3 Ultra, and 56% on Gemma 4 31B. A Rubin plus LPX analytical model shows 1.2x-1.5x tighter achievable latencies and up to 3.6x higher throughput versus attention-FFN disaggregation.

arXiv cs.AI / cs.LG / cs.CL · 5d agoAI research

OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis

OmniMed-FL benchmarks multimodal federated learning for chest radiograph diagnosis across 3-20 clients, with FedProx leading under severe non-IID skew.

OmniMed-FL studies multimodal federated learning combining chest radiographs and clinical notes for five-class condition classification under HIPAA/GDDR-compliant decentralized training. It benchmarks eight fusion strategies, imputation rules, and federated baselines under Dirichlet non-IID partitioning across 3-20 hospital clients. With 5 clients and severe skew (alpha=0.1), FedProx scored 0.737 macro-F1 versus 0.662 for FedAvg and 0.297 for local-only training. Multimodal fusion beat unimodal inputs (0.956 vs 0.934 text, 0.664 images) on the synthetic corpus.

arXiv cs.AI / cs.LG / cs.CL · 7d agoAI research1

VDiff-Bench: A Challenging Benchmark for Fine-Grained Image Difference Identification

VDiff-Bench, a 1,756-question benchmark, shows multimodal LLMs struggle with fine-grained image-difference identification, scoring as low as 8.7% on low-level changes.

VDiff-Bench is a multiple-choice benchmark of 1,756 four-way questions over image pairs covering 10 change categories including position, motion, color, texture, OCR/text and illumination, with curated hard negatives. Evaluation of 11 state-of-the-art open- and closed-source MLLMs shows fine-grained visual comparison remains brittle: 7-8B-scale open-source models score 52.5-70.6% on semantic changes but only 8.7-33.3% on low-level changes like noise and texture. Notably, Grok 4.3 shows a sharp performance drop on noise and texture differences, falling behind large open-source models like Kimi K2.5 and K3.

Hugging Face daily papers · 12d agoAI research

ZDI-26-689: Linux Kernel SCTP Subsystem Race Condition Information Disclosure Vulnerability

ZDI discloses Linux Kernel SCTP subsystem race condition (CVE-2026-46227) allowing low-privileged local attackers to disclose sensitive information, CVSS 6.4.

ZDI-26-689 describes a race condition information disclosure vulnerability in the Linux Kernel SCTP subsystem, assigned CVE-2026-46227 with a CVSS rating of 6.4. An attacker needs the ability to execute low-privileged code on the target system to exploit the flaw. The vulnerability exposes sensitive information from affected installations.

ZDI-26-622: Microsoft Windows IKEv2 AES-GCM Decryption Integer Underflow Remote Code Execution Vulnerability

ZDI disclosed CVE-2026-50696, a CVSS 8.1 integer underflow in Windows IKEv2 AES-GCM decryption enabling unauthenticated remote code execution on specific IPsec configurations.

The Zero Day Initiative published ZDI-26-622 describing a remote code execution vulnerability in Microsoft Windows' IKEv2 AES-GCM decryption path, caused by an integer underflow. Authentication is not required for exploitation, but only systems using specific IPsec configurations are affected. ZDI assigned the vulnerability a CVSS score of 8.1 and the identifier CVE-2026-50696.

ZDI-26-537: (Pwn2Own) Microsoft Windows storport Integer Overflow Local Privilege Escalation Vulnerability

ZDI discloses a Pwn2Own Windows storport integer overflow local privilege escalation flaw (CVE-2026-65814, CVSS 8.8) requiring existing low-privileged code execution.

ZDI advisory ZDI-26-537 describes an integer overflow in the Microsoft Windows storport driver that allows local attackers to escalate privileges. Exploitation requires the attacker to first obtain the ability to execute low-privileged code on the target system. The vulnerability has a CVSS rating of 8.8 and is tracked as CVE-2026-65814; it originated from Pwn2Own.

ZDI Published Advisories · Aug 11, 2026VulnerabilityCVE-2026-658141

The Pelican comparison grid for Astra is pretty interesting

Simon Willison's pelican SVG comparison shows GPT-6 Astra producing markedly better images than GPT-5.6 Sol, Terra, and Luna across reasoning levels.

Willison generated pelicans-riding-bicycles SVGs with newly accessed GPT-6 Astra at low through max reasoning levels and rendered them in a comparison grid against GPT-5.6 Sol, Terra, and Luna. Astra's outputs were markedly more coherent, while even the best GPT-5.6-Sol images remained largely abstract shapes. Astra does not support a reasoning=none setting, so all comparisons involved reasoning-enabled runs.

Simon Willison · 11d agoAI research

ZDI-26-646: Progress Software Kemp LoadMaster escape_quotes Uninitialized Memory Remote Code Execution Vulnerability

ZDI publishes ZDI-26-646 for CVE-2026-8037, an authenticated uninitialized-memory remote code execution flaw in Progress Kemp LoadMaster, rated CVSS 7.2.

Zero Day Initiative published advisory ZDI-26-646 describing an uninitialized memory flaw in Progress Software Kemp LoadMaster's escape_quotes function. Successful exploitation allows remote authenticated attackers to execute arbitrary code on affected installations. ZDI rated the issue CVSS 7.2 and assigned CVE-2026-8037.

USN-8514-2: OpenSSH vulnerability

Ubuntu backports an OpenSSH fix to older LTS releases for an scp flaw enabling setuid file placement and privilege escalation.

USN-8514-2 extends the USN-8514-1 OpenSSH fix to Ubuntu 14.04 LTS, 18.04 LTS, and 20.04 LTS. The flaw stems from incorrect file permission handling when downloading files as root using the legacy scp protocol without the preserve-mode option. An attacker could exploit this to install setuid or setgid files on the system, potentially leading to privilege escalation.

ZDI-26-696: Linux Kernel NTFS3 Journal Heap-based Buffer Overflow Code Execution Vulnerability

ZDI-26-696: Linux Kernel NTFS3 journal heap-based buffer overflow (CVE-2026-72196, CVSS 8.8) enables local arbitrary code execution.

ZDI advisory ZDI-26-696 describes a heap-based buffer overflow in the Linux Kernel NTFS3 journal handling, tracked as CVE-2026-72196 with a CVSS score of 8.8. Exploitation requires the attacker to first execute low-privileged code on the target system. Successful exploitation allows local attackers to execute arbitrary code. No in-the-wild exploitation is mentioned.

ZDI-26-681: Linux Kernel FUSE Subsystem Race Condition Local Privilege Escalation Vulnerability

ZDI discloses CVE-2026-64265, a CVSS 7.8 race condition in the Linux Kernel FUSE subsystem enabling local privilege escalation.

ZDI-26-681 covers a race condition in the Linux Kernel FUSE subsystem that allows local attackers to escalate privileges. Exploitation requires the ability to execute low-privileged code on the target system. ZDI assigned a CVSS rating of 7.8 and CVE-2026-64265.

Anatomical Grounding and Leakage-Aware Multimodal Contrastive Learning for Alzheimer's Disease Classification from Structural MRI

Study of label leakage and anatomical grounding in multimodal MRI models for Alzheimer's staging shows cognitive-score fusion accuracy of 87.3% is leakage-driven.

The authors train a ResNet18 slice-based encoder with a one-layer Transformer on 1,075 ADNI-1 T1 MRI scans, using FastSurfer segmentations and YOLOv8 localization (mAP_50 above 0.96) as anatomical reference. Grad-CAM shows the image-only classifier often attends to skull and background rather than disease-relevant structures. A CLIP-style image-tabular contrastive framework organized along a label-leakage spectrum yields 87.3% three-way accuracy with cognitive scores versus 73.0% with regional volumes, and cropping to the medial temporal lobe raises image-only accuracy from 58.7% to 65.1%. Results come from single runs on a small balanced test set with reported confidence intervals.

arXiv cs.AI / cs.LG / cs.CL · 2d agoAI research1

ZDI-26-695: Linux Kernel NFSv4 Server Race Condition Remote Code Execution Vulnerability

ZDI-26-695: Linux Kernel NFSv4 server race condition (CVE-2026-89688, CVSS 8.5) enables remote code execution on nfsd systems with authentication.

ZDI advisory ZDI-26-695 describes a race condition in the Linux Kernel NFSv4 server tracked as CVE-2026-89688 with a CVSS score of 8.5. Remote attackers can execute arbitrary code, but authentication is required and only systems with nfsd enabled are vulnerable. No in-the-wild exploitation is mentioned in the advisory.

ZDI-26-529: Samsung Galaxy S25 TIFF File Processing Heap-based Buffer Overflow Remote Code Execution Vulnerability

ZDI discloses CVE-2026-21045, a heap buffer overflow in Samsung Galaxy S25 TIFF processing enabling RCE via malicious files or pages.

ZDI-26-529 describes a heap-based buffer overflow in Samsung Galaxy S25 TIFF file processing that allows remote attackers to execute arbitrary code. User interaction is required, as the target must visit a malicious page or open a malicious file. ZDI assigned a CVSS score of 8.8, tracked as CVE-2026-21045.

ZDI Published Advisories · Aug 11, 2026VulnerabilityCVE-2026-21045