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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.

ZDI Published AdvisoriesSep 9, 05:00 UTC · 7d agoVulnerability 6 sources CVE-2026-71116

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 Sep 14, 19:54 UTC · 2d agofirst Sep 11, 01:59 UTC · 5d agoVulnerability 2 sources2

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 Published AdvisoriesAug 24, 05:00 UTC · 23d agoAdvisory CVE-2026-24268

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.

ZDI Published AdvisoriesAug 24, 05:00 UTC · 23d agoAdvisory CVE-2026-24272

ZDI-26-592: NVIDIA TensorRT ONNX File Parsing Improper Validation of Array Index Remote Code Execution Vulnerability

NVIDIA TensorRT improper array index validation in ONNX parsing (CVE-2026-24238, CVSS 7.8) enables remote code execution.

ZDI-26-592 addresses improper validation of array index in NVIDIA TensorRT's ONNX file parsing, tracked as CVE-2026-24238 with CVSS 7.8. Exploitation permits remote code execution on affected installations and requires user interaction. The advisory was published by the Zero Day Initiative on August 24, 2026.

ZDI Published AdvisoriesAug 24, 05:00 UTC · 23d agoAdvisory CVE-2026-24238

ZDI-26-543: Microsoft Windows ICC File Parsing Out-Of-Bounds Write Remote Code Execution Vulnerability

ZDI discloses an out-of-bounds write in Windows ICC file parsing via Mscms.dll enabling remote code execution (CVE-2026-54984, CVSS 7.8).

ZDI advisory ZDI-26-543 describes an out-of-bounds write in Microsoft Windows ICC file parsing that allows remote attackers to execute arbitrary code. Exploitation requires interaction with the Mscms.dll color management library, though attack vectors may vary by implementation. The flaw has a CVSS rating of 7.8 and is assigned CVE-2026-54984.

ZDI Published AdvisoriesAug 11, 05:00 UTC · Aug 11, 2026Vulnerability CVE-2026-549841

Orthanc DICOM Server

CISA advisory flags CVE-2026-87020, an integer overflow in Orthanc DICOM Server <1.13.0 causing heap out-of-bounds write and denial of service when decoding crafted PNG/JPEG images.

CISA published ICSMA-26-253-02 for Orthanc DICOM Server versions below 1.13.0, used in healthcare environments worldwide. CVE-2026-87020 (CWE-190) is an integer overflow in pitch and buffer-size computation causing a heap out-of-bounds write when decoding attacker-supplied PNG or JPEG images. An authenticated remote attacker can crash the Orthanc process and cause denial of service; CVSS v3.1 is 8.1 HIGH. CISA states no known public exploitation targeting this flaw has been reported.

CISA AdvisoriesSep 10, 12:00 UTC · 6d agoAdvisory CVE-2026-87020

ZDI-26-589: BlueZ A2DP Stack-based Buffer Overflow Remote Code Execution Vulnerability

ZDI details a network-adjacent stack buffer overflow in BlueZ's A2DP stack (CVE-2026-19774, CVSS 7.1) allowing remote code execution after pairing a malicious Bluetooth device.

The Zero Day Initiative published advisory ZDI-26-589 for a stack-based buffer overflow in BlueZ, the Linux Bluetooth protocol stack. A network-adjacent attacker who can pair a malicious Bluetooth device with the target can execute arbitrary code on the affected installation. The flaw carries a CVSS 7.1 rating and is tracked as CVE-2026-19774.

ZDI Published AdvisoriesAug 24, 05:00 UTC · 23d agoAdvisory CVE-2026-19774

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 AdvisoriesSep 14, 05:00 UTC · 2d agoVulnerability1

GDCM <= 3.2.7: six memory-safety and denial-of-service vulnerabilities, no CVE

Six memory-safety and denial-of-service flaws disclosed in the GDCM DICOM parsing library, affecting versions through 3.2.7.

Researcher Abhinav Agarwal disclosed six vulnerabilities in GDCM (Grassroots DICOM), an open-source C++ library for parsing and processing DICOM files. All six were confirmed against GDCM 3.2.6 using AddressSanitizer and UndefinedBehaviorSanitizer, and source review found the vulnerable patterns through version 3.2.7 and the upstream master snapshot. Potential impacts include heap corruption, process-memory disclosure, stack exhaustion, and process termination in applications parsing untrusted DICOM files. No CVE identifiers have been assigned at the time of disclosure.

oss-securitySep 10, 03:35 UTC · 6d agoVulnerability

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 Published AdvisoriesSep 9, 05:00 UTC · 7d agoVulnerability 4 sources CVE-2026-604121

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 Published AdvisoriesSep 14, 05:00 UTC · 2d agoAdvisory CVE-2026-64397

Fwd: UnrealIRCd 6.2.7 released & hot-patch to fix security issues for existing installations

Clarification: UnrealIRCd Websockets and JSON-RPC interfaces involved in 6.2.7 security fixes are disabled by default.

Sam James forwards the UnrealIRCd 6.2.7 release announcement and clarifies that neither Websockets nor JSON-RPC are enabled by default. This limits exposure of the security issues addressed by the release and accompanying hot-patch for existing installations.

oss-securitySep 13, 01:07 UTC · 3d agoVulnerability 2 sources

Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions

A unified ViT compression pipeline (H-BAC pruning, quantization, distillation) cuts plant-disease models 54.5x to 6.01 MB while keeping 95.13% accuracy.

Researchers combined Hessian-Balanced Adaptive Block Pruning (H-BAC), guided by second-order sensitivity estimation, with quantization and attention-based knowledge distillation to compress Vision Transformers for on-device chilli plant disease detection in India. On a 3-class cross-village, cross-device out-of-distribution dataset, the integrated pipeline reduced model size from 327.42 MB to 6.01 MB (54.5x) at 95.13 +/- 2.32% accuracy, matching the 95.13% FP32 baseline. Ablations also show a directly trained 6.01 MB INT8 student reaches 94.87% accuracy, indicating where pruning and distillation add limited value.

arXiv cs.AI / cs.LG / cs.CLSep 4, 16:40 UTC · 12d agoAI research

Negative Self-Distillation: Learning to Reason by Avoiding Flaws

Researchers propose Negative Self-Distillation (NSD), a label-free LLM self-improvement method that diverges from self-generated flawed reasoning rather than imitating privileged solutions.

The authors show On-Policy Self-Distillation can degrade complex reasoning by forcing imitation of artificially confident traces built on privileged information, suppressing uncertainty and self-correction. NSD instead generates a question-specific negative condition — such as acting as a 'careless reasoner' — and pushes the model's distribution away from it without ground-truth labels. A dynamic gating mechanism isolates reasoning-critical tokens so gradient updates fix behavioral flaws without damaging foundational linguistic capabilities. NSD consistently outperforms OPSD and other label-free, self-bootstrapping reinforcement learning baselines.

Hugging Face daily papersSep 9, 20:00 UTC · 7d agoAI research1

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 Published AdvisoriesSep 14, 05:00 UTC · 2d agoVulnerability CVE-2026-46227

ZDI-26-587: Ashlar-Vellum Cobalt VS File Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability

ZDI advisory ZDI-26-587 details a heap-based buffer overflow RCE (CVE-2026-19781, CVSS 7.8) in Ashlar-Vellum Cobalt VS file parsing, requiring user interaction.

The Zero Day Initiative released advisory ZDI-26-587 covering a heap-based buffer overflow in Ashlar-Vellum Cobalt's VS file parsing. A remote attacker can execute arbitrary code when the target opens a malicious file or visits a crafted page. ZDI rated the vulnerability CVSS 7.8 and assigned CVE-2026-19781.

ZDI Published AdvisoriesAug 24, 05:00 UTC · 23d agoAdvisory CVE-2026-19781

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.CLSep 9, 16:37 UTC · 7d agoAI research1

Testing race conditions with memory access tracing and stack-based delay injection

Google Project Zero released MAccConc, Linux kernel tooling that traces memory accesses to explore and test race condition interleavings.

A Google Project Zero researcher published MAccConc (Memory Access Concurrency), tooling for exploring possible interleavings of multithreaded test cases in the Linux kernel, available on GitHub. The tools use KCOV with ASAN outline-mode instrumentation to record per-access memory traces, enabling automatic testing of all A-B-A interleavings plus terminal and GUI explorers for manual analysis. The work targets confirming race condition candidates, building reliable regression tests, and enabling concurrency fuzzing, drawing on ideas from SKI and Ned Williamson's sockfuzzer.

Google Project ZeroSep 8, 07:00 UTC · 8d agoResearch1

One Symptom, Three Levers: A Critical Review of On-Policy Self-Distillation

A review paper frames on-policy self-distillation collapse as governed by three levers: token weighting, privileged information, and guidance decay.

The paper critically reviews On-Policy Self-Distillation (OPSD), where a language model trains on its own generations scored token-by-token by a teacher conditioned on privileged information such as reference solutions or environment feedback. It identifies collapse, the progressive narrowing of producible reasoning paths, as the dominant failure mode and analyzes it through three levers: signal weighting, the nature of privileged information, and teacher dynamics. The review is restricted to mathematical reasoning, reports no new experiments, and offers a shared vocabulary separating settled findings from disputed ones.

Hugging Face daily papersAug 25, 20:00 UTC · 22d agoAI research

Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation

TGOPD verifies teacher reliability per prompt before on-policy distillation, outperforming vanilla OPD across math, code, and instruction benchmarks.

Teacher-Gated On-Policy Distillation (TGOPD) estimates teacher reliability from verifier-scored teacher probes and routes each prompt either to dense on-policy distillation or to verifier-grounded GRPO, avoiding misleading updates from confidently wrong teachers under mode-seeking reverse KL. Across 4B and 35B students in mathematics, code, and instruction following, TGOPD outperforms vanilla OPD in all six single-domain settings and achieves higher seven-benchmark averages under multi-domain training. It also raises teacher-node GPU utilization from 9.8% to 78.9% in the measured 4B single-domain run by reusing idle teacher capacity.

Hugging Face daily papersSep 1, 20:00 UTC · 15d agoAI research

ZDI-26-568: Linux Kernel Net Scheduler Race Condition Local Privilege Escalation Vulnerability

ZDI disclosed a race condition (CVSS 7.5) in the Linux kernel net scheduler enabling local privilege escalation; no CVE assigned in the advisory text.

ZDI advisory ZDI-26-568 describes a race condition in the Linux kernel's net scheduler that allows local attackers to escalate privileges on affected installations. Exploitation requires the attacker to first execute high-privileged code on the target system. ZDI assigned a CVSS rating of 7.5; no CVE identifier is listed in the advisory text.

ZDI Published AdvisoriesAug 13, 05:00 UTC · Aug 13, 2026Vulnerability

ZDI-26-632: WatchGuard FireWare OS epm connect Stack-based Buffer Overflow Remote Code Execution Vulnerability

ZDI disclosed a CVSS 8.8 unauthenticated stack-based buffer overflow in WatchGuard FireWare OS epm connect enabling network-adjacent remote code execution.

ZDI published advisory ZDI-26-632 for a stack-based buffer overflow in the epm connect component of WatchGuard FireWare OS. Network-adjacent attackers can execute arbitrary code without authentication. ZDI assigned CVSS 8.8 and the issue is tracked as CVE-2026-13086.

ZDI Published AdvisoriesSep 9, 05:00 UTC · 7d agoAdvisory CVE-2026-13086

When LLM judges agree, should we believe them?

Amazon ICML paper uses Ising models to correct correlated LLM-judge votes, beating accuracy-weighted panels by 9-14%.

Amazon Science describes an ICML paper, "Dependence-aware label aggregation for LLM-as-a-judge via Ising models," addressing how correlated judge outputs inflate majority-vote confidence. The unsupervised method models pairwise dependence between judges, learning both reliability and similarity without human reference labels. Tested on relevance, toxicity, and summarization tasks with 10 judge models at temperature zero, it outperformed accuracy-weighted voting by 9% to 14%.

Hacker News · AISep 14, 16:29 UTC · 2d agoAI research HN 41↑ · 23 comments

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.

ZDI Published AdvisoriesSep 14, 05:00 UTC · 2d agoAdvisory CVE-2026-64265

CHERI-D Reincarnate: efficient multicore CHERI temporal memory safety through allocation reincarnation (draft version)

CHERI-D Reincarnate adds allocation reincarnation to CHERI, quarantining generation IDs instead of memory to cut temporal memory-safety overheads on multicore systems.

The proposal extends CHERI-D temporal memory safety by quarantining exhausted generation IDs rather than memory slots, allowing freed memory immediate reuse through allocation reincarnation. It adds coherent ID caching and multicore support connecting physical coherence events to the virtually addressed ObjID buffer. The design was implemented as a hardware-software co-design across CHERI-Toooba FPGA softcore, QEMU, LLVM/Clang, and CheriBSD. Across evaluated workloads it substantially reduces memory-sweep frequency and quarantine overhead with low performance and hardware cost.

arXiv cs.CRSep 10, 14:19 UTC · 6d agoResearch

Hackers Pose as Domain Controllers to Steal Active Directory Password Hashes

Attackers abuse Active Directory replication (DCSync) via the DRSUAPI protocol to steal password hashes and forge Golden Tickets for persistent domain compromise.

Security reporting citing Trellix details how threat actors impersonate domain controllers to request replication data and obtain NTLM password hashes without dumping LSASS on the domain controller. With Domain Admin or replication rights, attackers can steal the KRBTGT hash and forge long-lived Golden Tickets that survive password resets. Defenders should monitor DRSUAPI requests from non-DC systems, restrict replication permissions, and enforce MFA and tiered administrative access.

Cyber Security Newsupdated Sep 10, 12:00 UTC · 6d agofirst Sep 10, 11:29 UTC · 6d agoResearch 2 sources3· 1 read

Before You Poll with LLMs: A Deliberative Diagnostic Framework

Deliberative diagnostic shows all five tested frontier LLMs misrepresent human belief shifts after arguments, with GPT-5.1 reversing on outgroup questions.

The Deliberative Polling Diagnostic Framework compares human and LLM persona belief shifts after identical informational interventions, using data from America in One Room (526 personas, 72 questions). All five frontier models tested failed uniquely: GPT-5.1 exhibited partisan reversal (80% on outgroup vs 26% on policy questions), Gemini 2.0 Flash, Claude Sonnet 4.5 and Llama 3.3 70B overshot at 5-7x human magnitude, and DeepSeek V3 showed near-zero change (rigidity). The authors term the underlying signature 'self-sycophancy', conformity to the model's internal persona stereotype rather than reasoning from provided information.

arXiv cs.AI / cs.LG / cs.CLSep 14, 16:41 UTC · 2d agoAI research

ZDI-26-575: Linux Kernel Net Scheduler Packet Classifier API Time-Of-Check Time-Of-Use Local Privilege Escalation Vulnerability

ZDI publishes ZDI-26-575, a CVSS 7.5 TOCTOU local privilege escalation in the Linux kernel net scheduler packet classifier API.

The Zero Day Initiative disclosed a time-of-check time-of-use flaw in the Linux kernel's net scheduler packet classifier API that permits local privilege escalation. Exploitation requires the attacker to first execute high-privileged code on the target system. ZDI assigned a CVSS rating of 7.5; no CVE id is provided in the text.

ZDI Published AdvisoriesAug 13, 05:00 UTC · Aug 13, 2026Advisory1