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A denial-of-service proof of concept for NanaZip 6.5 was published on Exploit-DB.
Exploit-DB carries a denial-of-service proof-of-concept targeting NanaZip version 6.5. NanaZip is an open-source file archiver packaged for Windows. The entry cites no CVE id and no evidence of active exploitation.
An open methodology toolkit measures whether transformer language models contextualize fixed word forms across domains using bridge forms and layer-wise silhouette analysis.
The manual documents an open toolkit built around 'bridge forms' - identical written words recurring across two or more subject domains with a different sense in each - to test whether transformer language models individuate word occurrences by context beyond the embedding layer. It covers declarative specification of bridge forms, Wikipedia corpus acquisition, occurrence localization, layer-wise representation extraction, domain-pairwise silhouette measurement, and visualization, justifying each choice against failure modes such as sense contamination and subword-tokenization misalignment. It is a methodological and implementation reference and reports no empirical results.
A public proof-of-concept denial-of-service exploit has been published for the EVerest 2025.9.0 open-source EV charging framework.
Exploit-DB lists a denial-of-service proof of concept targeting EVerest version 2025.9.0. EVerest is an open-source software framework used for EV charging infrastructure. No in-the-wild exploitation or CVE mapping is stated in the listing.
Nums AI released Causilo, an Apache-2.0 tabular foundation model achieving the highest single-model Elo (1794) on TabArena for classification and regression.
Nums AI released Causilo 1.0.1, a pretrained in-context learning tabular foundation model for classification (up to 10 classes) and regression, with Apache-2.0 code and research-only weights on Hugging Face. It achieved the highest single-model TabArena Elo of 1792.9 overall, beating TabFM (1764.4) and EXAONE Tabular (1758.8), and a maintainer re-run placed it 3rd of 88 including system entries. It also ranked first by CRPS, R² and RMSE on ScoringBench across 101 datasets, and was fastest on fit and predict versus TabICLv2 and TabPFN-3 on an H100 GPU at 8.15 GiB memory. The model was pretrained only on synthetic data, uses cross-attention to keep cost linear in feature count, and version 1.0.1 adds quantile outputs via 999 native quantiles.
Researchers disclosed two DoS attacks exploiting CDNs' HTTP/3-to-HTTP/1.1 translation to amplify low-bandwidth requests up to 350x against origin servers.
Researchers named the two techniques HTTP/3 Bandwidth Amplification (HBA) and HTTP/3 Connection Amplification (HCA), exploiting the gap where CDNs speak HTTP/3 to browsers but only HTTP/1.1 to origins. All six tested CDNs (Alibaba, Baidu, Cloudflare, CloudFront, Fastly, Tencent) were susceptible to HBA, and five to HCA, with Cloudflare immune to HCA because it buffers full requests before opening backend connections. Attackers using under 5 Mbps forced over 100 Mbps at origins, and the 350x factor applies only to Alibaba, Baidu, and Tencent, which support the QPACK dynamic table. Testing identified 42,330 potentially vulnerable subdomains out of 151,685 hosted on the six providers across the Tranco Top 1M.
Evaluation of twelve LLMs on 222 clinical questions shows verbatim quotes rarely substantiate claims; claude-opus-5 fully substantiates only 37.1%.
The authors build a standardized harness over four clinical practice guidelines and evaluate twelve LLMs on 222 synthetic clinical questions, measuring citation attachment, verbatim quote production, and claim substantiation. Most models attach verbatim quotes to over 90% of claims from prompting alone, though lightweight models like claude-haiku-4.5 struggle. Quotes frequently fail to substantiate claims: claude-opus-5 quotes 98.0% of claims but fully substantiates only 37.1%, exposing a capability gap for verifiable clinical QA.
Unit 42 details CVE-2025-0921 (CVSS 6.5), a privileged file operations flaw in Iconics Suite enabling DoS and privilege escalation.
Unit 42 disclosed CVE-2025-0921 (CVSS 6.5), an execution-with-unnecessary-privileges flaw in the Pager Agent of the AlarmWorX64 MMX feature of Mitsubishi Electric Iconics Digital Solutions GENESIS64. Attackers could misuse privileged file system operations to corrupt critical binaries, causing denial-of-service or integrity loss on vulnerable SCADA systems. The analysis demonstrates a chain with CVE-2024-7587, which grants excessive permissions to the C:\ProgramData\ICONICS directory via the GenBroker32 installer. Iconics released an advisory with a workaround that addresses the reported issues.
Version 0.34 of Simon Willison's llm CLI adds response-duration metrics to log output, plus bug fixes and faster log querying.
The open-source llm command-line tool for interacting with large language models released version 0.34. The headline change adds response duration in milliseconds and human-readable form to llm logs --usage Markdown output, plus a new duration_ms field in llm logs --short. The release includes several contributed bug fixes and a significant performance improvement to llm logs, alongside the related llm-openrouter 0.7.1 release.
Unauthenticated quadratic CPU-exhaustion DoS disclosed in graphql-go/graphql up to v0.8.1 via OverlappingFieldsCanBeMergedRule; no fixed version exists.
Evgenios Gkritsis publicly disclosed an algorithmic-complexity denial-of-service flaw in github.com/graphql-go/graphql affecting all released versions up to and including v0.8.1. The defect is triggered via the OverlappingFieldsCanBeMergedRule validation, is unauthenticated and network-reachable, and causes quadratic CPU exhaustion. No fixed version exists; the disclosure was public because the project has no private security-reporting channel or SECURITY.md.
Bruce Schneier highlights two papers: the CIMemories benchmark shows frontier LLMs leak memory attributes up to 69%, and an RL method reduces inappropriate disclosures.
Bruce Schneier discusses contextual integrity in LLMs, referencing the CIMemories benchmark, which uses synthetic profiles with 100+ attributes per user to test whether models with persistent memory disclose sensitive information appropriately. Evaluation showed frontier models exhibit up to 69% attribute-level violations, with GPT-5's violation rate rising from 0.1% to 9.6% across 40 tasks and reaching 25.1% with repeated prompting, showing unstable leakage behavior. A second paper introduces a reinforcement learning framework trained on a synthetic 700-example dataset that substantially reduces inappropriate disclosure while maintaining task performance, with improvements transferring to the human-annotated PrivacyLens benchmark.
Cisco warns actively exploited flaw CVE-2026-20349 lets unauthenticated attackers crash ASA and FTD firewalls via SSL VPN; CISA added it to KEV.
Cisco fixed CVE-2026-20349 (CVSS 8.6) in Secure Firewall ASA and FTD software, insufficient error checking in HTTP request processing that lets unauthenticated remote attackers force device reloads via crafted requests to the Remote Access SSL VPN service. Hotfixes cover ASA 9.16 through 9.24 and FTD 7.0 through 10.0, and there are no workarounds; Cisco confirmed active exploitation earlier in August but did not name the actor or targets. The flaw was found during internal security testing. CISA added it to the KEV catalog, requiring federal civilian agencies to patch by August 14, 2026.
A controlled autoregressive testbed shows validation losses must be analyzed per task, and image tokenizer choice affects joint multimodal text modeling.
Researchers built a pure-autoregressive testbed to study image tokenizers as the 'visual language' of unified multimodal models, tracking task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They found that losses exhibit distinct scaling behavior per task and rank tokenizers differently, and that I2T loss over a shared text vocabulary gives a more consistent loss–performance signal than T2I loss. Better reconstruction does not necessarily yield lower task-specific losses or stronger downstream performance, and tokenizer choice can affect text modeling under joint optimization. Case studies examine the discriminator, semantic supervision, and vocabulary size design axes.
Unit 42 details five vulnerabilities (CVSS 7.0-7.8) in ICONICS Suite SCADA software enabling privilege escalation and DoS.
Unit 42 discovered five vulnerabilities (CVE-2024-1182, CVE-2024-7587, CVE-2024-8299, CVE-2024-8300, CVE-2024-9852) in ICONICS Suite versions 10.97.2 and earlier for Windows during a 2024 security assessment. The flaws, rated CVSS 7.0-7.8, allow DLL hijacking, privilege escalation, information disclosure, denial-of-service and potentially full system compromise. ICONICS Suite is a SCADA solution with hundreds of thousands of installations in over 100 countries, widely used in critical infrastructure, and several dozen servers are internet-exposed per Unit 42 telemetry. ICONICS released patches and advisories with workarounds in 2024.
The 2026 PNPL competition releases LibriBrain100, a MEG speech dataset with 32 extra subjects, targeting word classification and cross-subject BCI generalization.
The 2025 PNPL competition on non-invasive speech decoding from MEG achieved F1-macro scores of 95.6% for speech detection and 73.6% for phoneme classification, built on LibriBrain's ~50 hours of single-subject data. The 2026 edition extends this with LibriBrain100, adding 32 subjects (~40 minutes each) plus ~80 hours of within-subject data. Two tracks target within-subject word classification at scale and cross-subject generalization with subject-specific fine-tuning shrinking from ~40 to ~20 to ~10 minutes, aiming at clinically feasible non-invasive BCIs for people with profound paralysis.
AMD, Arm, and Nvidia issued Patch Tuesday advisories fixing a Linux GPU driver DoS flaw, nine Mali GPU vulnerabilities, and two high-severity Triton defects.
AMD fixed CVE-2026-43603, a NULL pointer dereference in its Linux GPU kernel driver that can crash systems and cause denial-of-service, credited to SecMate researchers, with patches for EPYC, Ryzen, Radeon, and Instinct shipped in July and embedded variants due in October. Arm published an advisory covering nine Mali GPU vulnerabilities allowing use-after-free access, kernel information leaks, or DoS, releasing fixes for Valhall and 5th Gen GPU Architecture drivers, with Bifrost also affected. Nvidia updated Triton Inference Server for Linux to resolve two high-severity flaws, one causing DoS and one enabling information disclosure, data tampering, and DoS. Intel had issued no new advisories since the previous Patch Tuesday.
A new benchmark shows LLMs reach 68.3-93% accuracy propagating local revisions across conversationally generated artifacts, with parallel-sample selection most cost-effective.
The paper introduces a benchmark for revision propagation: when users request a local change, LLMs must identify dependencies and update all affected parts of an artifact generated through conversation, where context lives in the chat history. Nine revision methods, including sequential reflection and parallel sampling variants, were evaluated on gpt-oss-20b/120b, gpt-5.4-mini, and qwen3.5-9b/27b/122b. Baselines scored 68.3-93% accuracy, and selecting among three parallel samples via LLM-based or medoid selection improved accuracy by 2.2-9.7% as the most cost-effective test-time compute strategy. Code and dataset are released.
CrowdSec 1.8.0 adds WAF bot detection via challenges and fingerprinting and fixes denial-of-service flaws in HTTP and Kubernetes audit datasources.
CrowdSec 1.8.0, released August 31, introduces bot detection in its WAF using client challenges and fingerprinting, plus fixes for two denial-of-service vulnerabilities in the HTTP acquisition datasource (unbounded decompressed body size, trusted Content-Length) and the Kubernetes audit webhook datasource (unbounded request body reads). The release also adds a dedicated Kubernetes datasource pulling logs directly from the apiserver, new HTTP helpers for external queries in the expression language, and performance work on the decisions stream endpoint. The challenge requires SSE4.1 and writable-executable memory, so some legitimate visitors may be blocked.
A controlled study finds agent memory portability varies sharply: fixed-schema knowledge graphs survive model swaps while compressed notes degrade.
The study compares preserving an agent's history as raw long context, RAG chunks, compressed natural-language notes, or fixed-schema knowledge graphs across model upgrades, using 48 synthetic histories and two open-weight sub-10B-parameter models. Fixed-schema KG accuracy changed by only +0.0004 ± 0.0020 after a writer swap, while compressed NOTES shifted asymmetrically by +9.91 or -13.28 percentage points depending on migration direction. Mixed 50/50 embedding migrations captured only 4.96 of an 11.90-point RAG re-embedding gain; 80% of the NOTES deficit came from information lost at construction, and 81% of the RAG deficit from retrieval failures. Store-only repair of NOTES failed to reach 90% recovery in all 48 cases, while retaining raw histories enabled recovery in 34 of 48 for one direction.
ZDI's September 2026 Microsoft update review lists two already-exploited Windows EoP zero-days and dozens of critical RCEs across Office, SQL Server, and Windows services.
The review catalogs Microsoft's September 2026 fixes, marking CVE-2026-85880 (Windows ALPC) and CVE-2026-81963 (Windows Update Stack) as already exploited elevation-of-privilege issues. It also lists critical RCE flaws in Office, Word, Excel, PowerPoint, Outlook, SQL Server, Windows DNS, DHCP and Failover Cluster, plus graphics component RCEs. Azure-side fixes include Entra ID, Copilot Studio, Azure AI Language and Azure AD B2C elevation-of-privilege flaws.
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.
A proof-of-concept denial-of-service exploit for Nmap 7.99 leverages an integer underflow in extension header parsing to crash the scanner.
Exploit-DB lists a denial-of-service proof of concept targeting Nmap version 7.99. The flaw is an integer underflow when handling extension headers, which can crash the scanner. No exploitation in the wild or patch details are mentioned in the listing.
3M litigation shows ChatGPT prompts can become discoverable evidence, forcing enterprises to govern AI conversation records.
In the Watson Grinding explosion litigation, an engineering expert retained by 3M had used ChatGPT, and a surfaced prompt asked the system to 'show how 3M is 0% at fault'; after an off-record deposition demand, more than 350 pages of previously unproduced ChatGPT material were provided. The author argues AI interaction histories are becoming part of decision records and discovery material, a trend the American Bar Association has already examined. Enterprises are urged to manage retention, ownership, sharing, and deletion of AI conversation logs across tools like ChatGPT, Copilot, Claude, and Gemini.
Stored cross-site scripting in OpenWrt LuCI via malicious DHCPv6 lease hostnames allows router interface attacks.
Exploit-DB entry 52637 describes a stored cross-site scripting vulnerability in LuCI, the OpenWrt web administration interface. A attacker on the local network can set a malicious hostname that gets stored in DHCPv6 lease data and rendered unsafely in the LuCI UI. When an administrator views the lease status page, the injected script executes in the router's management context.
CodeTD detects hallucinations in code LLMs before execution by analyzing topological patterns of attention maps, outperforming recent baselines.
CodeTD applies topological data analysis (TDA) to code LLM attention maps to quantify prompt-generation mismatch as a pre-execution correctness signal. Experiments cover HumanEval, MBPP, BigCodeBench, and MultiPL-E across 5 programming languages and 10 code LLMs up to 34B parameters. The method outperforms recent baselines and transfers between coding benchmarks, helping catch code that fails the task or embeds security vulnerabilities.
Cisco patched an unauthenticated remote DoS in ASA and FTD Remote Access SSL VPN that reloads devices via crafted HTTP requests.
Cisco disclosed a denial-of-service vulnerability in the Remote Access SSL VPN service of Secure Firewall ASA and FTD software. Insufficient error checking when processing HTTP requests allows an unauthenticated, remote attacker to send a crafted HTTP request that causes the affected device to reload. Cisco has released software updates addressing the flaw.
Researchers introduce CVRR, forcing multimodal models to rely on recurrent latent computation rather than accessible image tokens, validated via causal interventions and benchmarks.
The paper presents Causal Visual Recurrent Reasoning (CVRR), which makes recurrent hidden-state computation the required image-conditioned path for prediction in vision-language models. Before decoding, visual states and the original multimodal KV cache are removed so only the final recurrent state carries image information to the answer. CVRR retains strong performance on V*, MMVP, BLINK, and MME-RealWorld-Lite while comparable latent reasoners fail under the same constraint. Causal interventions show predictions remain sensitive to recurrent content and that persistent visual evidence causally revises the recurrent trajectory.
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.
Researchers release PIA-Bench, the first open benchmark evaluating how accurately LLMs can automate privacy impact assessments using 73 curated federal PIAs.
PIA-Bench is the first open benchmark for evaluating large language models on real-world privacy impact assessments (PIAs). The authors audited 499 expert-authored PIAs published by US federal agencies and curated 73 structured PIAs comprising 451 privacy risk items and 831 mitigation items. Off-the-shelf LLMs were found to produce meaningful assessments while identifying clear avenues for improvement. The paper calls for domain-specific LLM agent workflows, accountable LLM infrastructure, and new quality standards for PIAs.
Ubuntu issued USN-8744-1 fixing CVE-2026-3644, a Python http.cookies content-injection flaw, plus a pyexpat recursion DoS across six Ubuntu LTS releases.
Ubuntu published security notice USN-8744-1 addressing two Python vulnerabilities affecting Ubuntu 14.04 LTS through 24.04 LTS. CVE-2026-3644 concerns incorrect handling of control characters in the http.cookies module, which could allow an attacker to inject arbitrary content. The second issue involves unbounded recursion in the Expat XML parser reached via the pyexpat module, which could crash Python and cause a denial of service. Updated packages are available; no exploitation in the wild is reported.
Audit of 22 frontier models finds widespread verbatim retrieval of published molecular property values, with higher reasoning increasing recall of memorized numbers.
An arXiv audit tests 22 frontier LLMs across 12 molecular regression benchmarks for verbatim retrieval of published values. More than 50% of the LLMs show verbatim retrieval on five datasets, and identical experiments are flagged 89% more often at a high reasoning level than at the lowest one. Suppressing retrieval moves model prediction errors closer together in relative terms, suggesting predictive capability is not determined solely by memorized values.
CISA warns NextGen Healthcare Mirth Connect <=4.7.1 has SQL injection and XXE flaws enabling credential theft, file writes, and DoS.
CISA released advisory ICSMA-26-253-01 covering three vulnerabilities in NextGen Healthcare Mirth Connect versions 4.7.1 and earlier: SQL injection CVE-2026-82583 (CVSS 8.3), XXE CVE-2026-78224 (CVSS 8.2), and XXE CVE-2026-82578 (CVSS 7.5). Exploitation could expose stored credentials for connected systems, enable arbitrary file writes, and cause denial-of-service conditions. No public exploitation has been reported; the product is deployed worldwide in the Healthcare and Public Health sector.
Opinion piece urges migrating 35KB preprompts from Anthropic/OpenAI to self-hosted Ollama, citing session privacy risks and safety filters blocking security research.
The author documents gotchas migrating 35KB preprompts from Claude Opus to self-hosted Ollama, motivated by fears that frontier providers train on user sessions, citing the OpenAI Navier-Stokes controversy. The piece argues inference providers cannot audit their own retention or training pipelines and that only self-hosted hardware offers verifiable privacy. It also criticizes frontier safety filters for refusing vulnerability research tasks and calls for models that support exploitability testing in CI/CD pipelines.
Rockwell's 1756-ENBT ControlLogix EtherNet/IP bridge (all versions) is vulnerable to DoS via crafted CIP packets, crashing the module until manual restart.
CISA republished Rockwell Automation's advisory for CVE-2025-10478, a CWE-754 flaw affecting all versions of the 1756-ENBT ControlLogix EtherNet/IP bridge, scored CVSS 7.5. A crafted CIP packet can crash the module, and the device requires a restart to recover. Affected critical infrastructure sectors include critical manufacturing, food and agriculture, transportation systems, and water. No public exploitation has been reported; CISA recommends minimizing network exposure.
Researchers introduce CausalArena, a unified benchmark revealing that causal discovery rankings shift substantially across structural causal model families and protocols.
The paper presents CausalArena, a unified and evolvable benchmark for causal discovery combining synthetic structural causal models, semantically grounded operational SCMs, formula-grounded scientific SCMs, and public real-world datasets. Experiments across classical, neural, and pretrained causal discovery foundation models show large ranking shifts between benchmark regimes. The authors identify pretraining-evaluation overlap and benchmark diversity as central evaluation challenges.
Unauthenticated DRPC requests to Apache Storm 3.0.0 cause unbounded memory growth in the function-name queue map, enabling DoS.
CVE-2026-82439 (severity: important) affects Apache Storm DRPC (storm-server) versions 3.0.0 before 3.1.0. The DRPC server maintained a map from function name to request queue, creating an entry on first sight of a name, but no code path ever removed entries: request cleanup removed requests from queues but the queue objects and map entries persisted. An unauthenticated attacker could send requests for arbitrary function names to drive unbounded memory growth and crash the server.
A controlled pure-autoregressive testbed shows task-specific validation losses rank image tokenizers differently, with I2T loss the most consistent signal.
Researchers built a controlled pure-autoregressive testbed and tracked task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They find losses should be analyzed per task because they exhibit distinct scaling behavior and rank tokenizers differently, and that the loss-performance relationship depends on the predicted token space. I2T loss, computed over a shared text vocabulary, correlates consistently with both generation and visual understanding performance after supervised finetuning. Case studies revisit the discriminator, semantic supervision, and vocabulary size as tokenizer design axes.
Microsoft's September 2026 Patch Tuesday fixes a record 966 flaws, including two Windows zero-days actively exploited to gain SYSTEM privileges.
Microsoft's September 2026 Patch Tuesday addresses a record 966 vulnerabilities, including 105 rated Critical, 81 of them remote code execution bugs. Two zero-days were actively exploited: a Windows Update Stack link-following flaw and a Windows ALPC heap-based buffer overflow, both allowing local elevation to SYSTEM privileges. The ALPC flaw was reported by Volexity and Proofpoint researchers, while the Update Stack flaw was credited to Romain Deperne and the Microsoft Threat Intelligence Centre. Microsoft shared no details on how the flaws were exploited in attacks.
CiteShade attack makes RAG models cite trusted sources for attacker-chosen wrong answers, raising wrong-answer rate from 0.01 to 0.68.
CiteShade is presented as the first citation laundering attack against multi-source retrieval-augmented generation: an attacker controlling a single source induces a wrong answer falsely attributed to a trusted source, even while correct evidence remains in context. The attack is formalized via three necessary conditions (retrieval, generation, citation) constructible without any instructions, raising wrong-answer rate from 0.01 to 0.68 on multi-hop QA, with source deletion confirming the malicious source as causal driver. Vulnerability tracks a model's citation propensity rather than scale, reaching CLR 0.84 with explicit instruction and 0.64 without on the most citation-prone model. Perplexity filtering and citation-support checking prove insufficient; the authors propose a counterfactual defense verifying which source actually drove the answer.
Two flaws in TP-Link Tapo C200 cameras allow network-adjacent admin access without a password (CVE-2026-15315) or DoS (CVE-2026-15316); fixed in V5_1.4.6.
OPSWAT Unit 515 researchers discovered CVE-2026-15315, an authentication bypass in the Tapo C200's local HTTPS management interface on port 443, where an alternative verification path accepts a replayed device-generated value, letting unauthenticated network-adjacent attackers establish admin sessions. CVE-2026-15316 causes a denial-of-service crash in the camera's HTTPS service via oversized encrypted Wi-Fi credential data during onboarding. TP-Link confirmed both issues after the April 16, 2026 report and released firmware V5_1.4.6 on August 18, 2026. OPSWAT says additional potentially critical findings remain under coordinated disclosure.
Omni-Streaming Thinking fixes premature cross-modal commitment in streaming omni-modal models via pending claims verified against modality-specific evidence, beating baselines by over 10%.
The paper identifies 'premature cross-modal commitment', where streaming models keep relaying early visual interpretations even after audio contradicts them. OST generates evidence-linked pending claims with future verification intervals, stores audio and visual evidence separately, and refutes claims when contradictory evidence appears. Built on a frozen Qwen3-Omni-30B-A3B-Instruct backbone with lightweight adaptation, it outperforms open baselines by more than 10% relative on five streaming and audio-visual benchmarks. On the new OST-DiagBench it reaches d-prime 2.95 versus at most 1.38 for open baselines, while reducing vision-induced auditory hallucinations.