CVE-2026-47248

CVE-2026-47248 – Parse Server GraphQL schema disclosure via Did you mean …? validation messages What is affected: Parse Server (Node.js) GraphQL endpoint exposes schema metadata to unauthenticated callers through Did you mean …? suggestions embedded in GraphQL validation errors. Root cause: Valid...

CVE-2026-47248 Parse Server: GraphQL "Did you mean" validation suggestions disclose schema to unauthenticated callers

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Prior to versions 8.6.78 and 9.9.1-alpha.2, Parse Server's GraphQL endpoint discloses schema metadata to unauthenticated callers through Did you mean ...? suggestions embedded in GraphQL...

NCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection

Feature selection is critical for network intrusion detection systems NIDS operating under high-dimensional, highly imbalanced traffic, as found in operational and defense networks. Traditional filter methods rank features using global statistics computed symmetrically across classes and thus fai...

GHSA-8CPH-RGR4-G5VJ Parse Server's GraphQL "Did you mean ...?" validation suggestions disclose schema to unauthenticated callers

Impact Parse Server's GraphQL endpoint discloses schema metadata to unauthenticated callers through Did you mean ...? suggestions embedded in GraphQL validation-error messages. An unauthenticated caller who knows only the public application id can iteratively send malformed queries to reconstruct...

PT-2026-45045

Name of the Vulnerable Software and Affected Versions Parse Server versions prior to 8.6.78 Parse Server versions prior to 9.9.1-alpha.2 Description The GraphQL endpoint discloses schema metadata to unauthenticated callers via "Did you mean ...?" suggestions within GraphQL validation-error...

Modernizing User Privacy Preference Measurement through GPPI: A GDPR-Aligned Privacy Preference Item Bank

Privacy measurement instruments e.g., CFIP, IUIPC, PAQ predate GDPR by over a decade and measure privacy concerns, distinct from preferences for regulatory protections e.g., data portability, erasure, automated decision-making rights. This leaves practitioners without tools to assess whether user...

AoI-Guided Client Selection for Robust and Timely Federated Intrusion Detection in Cloud-Edge Security Analytics

Federated learning FL is attractive for cloud-edge intrusion detection because it enables collaborative training over distributed telemetry without centralizing raw logs. In production security analytics pipelines, however, only a subset of clients participates in each round, and heterogeneous...

FixV2W: Correcting Invalid CVE-CWE Mappings with Knowledge Graph Embeddings

Accurate mapping between Common Vulnerabilities and Exposures CVE and Common Weakness Enumeration CWE entries is critical for effective vulnerability management and risk assessment. However, public databases, such as the National Vulnerability Database NVD, suffer from inconsistent and incomplete...

CVE-2026-34760

Summary: CVE-2026-34760 concerns vLLM’s audio processing path via Librosa. From version 0.5.5 up to before 0.18.0, Librosa used numpy.mean for mono downmix (to_mono), while ITU-R BS.775-4 specifies a weighted downmix. This mismatch creates inconsistency between audio perceived by humans and audio...

CVE-2026-34760

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

EUVD-2026-18522

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before version 0.18.0, Librosa defaults to using numpy.mean for mono downmixing tomono, while the international standard ITU-R BS.775-4 specifies a weighted downmixing algorithm. This discrepancy results...

VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription

Voice interfaces are quickly becoming a common way for people to interact with AI systems. This also brings new security risks, such as prompt injection, social engineering, and harmful voice commands. Traditional security methods rely on converting speech to text and then filtering that text,...

Sparse Autoencoders Are Capable LLM Jailbreak Mitigators

Jailbreak attacks remain a persistent threat to large language model safety. We propose Context-Conditioned Delta Steering CC-Delta, an SAE-based defense that identifies jailbreak-relevant sparse features by comparing token-level representations of the same harmful request with and without...

How Top CISOs Solve Burnout and Speed up MTTR without Extra Hiring

Why do SOC teams keep burning out and missing SLAs even after spending big on security tools? Routine triage piles up, senior specialists get dragged into basic validation, and MTTR climbs, while stealthy threats still find room to slip through. Top CISOs have realized the solution isn’t hiring...

EUVD-2025-117237

Malicious code in mean-peach-porpoise npm...

EUVD-2025-117236

Malicious code in mean-salmon-canidae npm...

Malicious code in mean-salmon-canidae (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector f19747e08beef00c0ff50ae824663ccc2a186e08cef376c9a8b33a9708d7b2e2 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

MAL-2025-138865 Malicious code in mean-peach-porpoise (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 47f0eb8e7ff15d8e0b06a0bee607b728ac17fc1c07735ace0058a7f88a933806 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...

EUVD-2025-103779

Malicious code in meancatfishz3n npm...

MAL-2025-128626 Malicious code in mean_catfish_z3n (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 4e61cc7419cf7783d4d69f83b646461ae063335420f6bdda44d27513dd48d657 This package appears to be part of the tea.xyz token reward campaign that flooded npm. These packages typically contain autopublish scripts auto.js,...