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Apache Superset SQL Injection Flaw Gets Public PoC Exploit

A public Python proof-of-concept exploit was released for CVE-2026-23980, an authenticated error-based SQL injection flaw in Apache Superset before 6.0.0.

A public proof-of-concept exploit repository now targets CVE-2026-23980, an error-based SQL injection affecting Apache Superset versions from 0.0.0 up to but not including 6.0.0. An authenticated user with read access can inject SQL through the sqlExpression or where parameters, potentially reaching business, customer, and security data depending on database configuration and privileges. Apache disclosed the flaw in February and urges upgrading to Superset 6.0.0; compensating controls include least-privilege database accounts, network restrictions, and log monitoring.

CVE-2026-80352: Apache Camel K: Camel K Master trait serviceAccountName YAML injection lets CR author apply arbitrary objects

Apache Camel K CVE-2026-80352 lets CR authors inject arbitrary Kubernetes objects via Master trait serviceAccountName YAML injection.

Apache disclosed a critical YAML injection vulnerability (CVE-2026-80352, improper control of code generation) in Apache Camel K's Master trait serviceAccountName setting. An authorized custom resource author can inject arbitrary Kubernetes objects, potentially enabling unauthorized resource manipulation. Affected versions are 2.0.0 before 2.9.3 and 2.10.1 before 2.10.2; fixes are available in 2.9.3 and 2.10.2.

CVE-2026-57866: Apache Impala: Secrets Exfiltration via SSRF

Apache Impala CVE-2026-57866 lets authenticated users abuse ai_generate_text() to exfiltrate secrets from configured Hadoop credential providers via SSRF.

A server-side request forgery affects Apache Impala versions 4.4.0 through 4.5.1. Authenticated users with permission to execute the ai_generate_text() function can exfiltrate secrets provided by credential providers configured via hadoop.security.credential.provider.path in core-site.xml. The attacker must know the secret's key name, and Apache rates the issue 'important'.

CVE-2026-54048: Apache Impala: Avro Schema URL Server-Side Request Forgery

Apache Impala CVE-2026-54048 lets crafted Avro schema URLs trigger SSRF to internal endpoints, with responses potentially leaking via error messages.

A server-side request forgery in Apache Impala 2.0.0 through 4.5.1 on all platforms can be triggered via an Avro schema URL using an http or file:/// URI on a table. An attacker can cause Impala to send GET requests to internal endpoints it can access, and responses may be exposed through parsing error messages. Users are advised to upgrade to a fixed release.

oss-security · 8d agoVulnerabilityCVE-2026-540481

OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution

OracleZoom enables recursive extreme-scale image super-resolution via reference-constrained on-policy distillation, reducing hallucinations at deep zoom scales.

OracleZoom tackles recursive super-resolution, where repeated feeding of predictions back into the same model leaves deeper-scale outputs unsupervised as required source resolution grows geometrically. The framework trains on its own trajectory while carrying the last ground-truth evidence beyond the supervision boundary, combining direct and cross-scale supervision, a no-reference quality objective, a KL-constrained pretrained latent prior, and EMA consistency. Across seven datasets it achieves state-of-the-art SR quality across zoom scales, averaging 0.713 CLIPIQA with larger gains at deeper scales and significantly reduced hallucinations. Code, data, and models are publicly released.

Hugging Face daily papers · 11d agoAI research

Jev Ultrafast: A browser agent with a dynamic, indexed action space

browser-use released Jev Ultrafast, an open-source browser agent that uses a dynamic, indexed action space for web automation.

Hacker News is linking to the browser-use Jev Ultrafast GitHub repository, described as a browser agent with a dynamic, indexed action space. The submission reached 40 points and 4 comments. The source text contains only submission metadata, so architecture and benchmark details are not available.

CVE-2026-73579: Apache Syncope: Non-recursive Any search could skip Realms restrictions

Apache Syncope non-recursive Any search can skip Realms restrictions, exposing objects outside an administrator's authorized realm (CVE-2026-73579).

CVE-2026-73579 is an incorrect authorization vulnerability in Apache Syncope where non-recursive Any search requests are transformed in a way that skips Realms restrictions, returning objects outside the administrator's authorized realm. Affected component is syncope-core-persistence-common 3.0.0-M0 through 3.0.16, 4.0.0-M0 through 4.0.7, and 4.1.0-M0 through 4.1.2. Apache rates the issue moderate severity.

oss-security · 2d agoVulnerabilityCVE-2026-73579

Echo: Learning-based Matching Decompilation using Trusted Back Translation

Researchers introduce Echo, a matching decompiler using trusted back-translation that roughly doubles exact-match rates and outperforms GPT-5.6 and Codex on Mirai.

Echo performs matching decompilation by using compilation as trusted feedback for iterative search: a domain-specific model generates candidate code and compilation configurations, which are recompiled, compared at assembly level, and repaired via rule-based rewriting, neural refinement, and reasoning-based refinement. On function-level benchmarks, Echo produces 2.43x more exact matches than the strongest baseline and the highest structural similarity to ground truth. On the Mirai malware binary, it matches 2.75x and 7.4x as many functions as GPT-5.6 and Codex, respectively.

arXiv cs.CR · 19h agoResearch

harshatheg/Qwen-2.5-1B-RLCD — new model trending #30 on Hugging Face

A community MLX inference engine evaluates constrained JSON schema fields in parallel on Apple Silicon, reporting 5.6-7.0x latency speedups with guaranteed schema validity.

The repository harshatheg/Qwen-2.5-1B-RLCD appeared at #30 on Hugging Face trending, but its content describes Parallel Constrained Decoding, an MLX-based inference engine for structured extraction and classification on Apple Silicon Macs. Benchmarked with mlx-community/Qwen2.5-1.5B-Instruct-4bit on an M4 Max, it reports 5.6x-7.0x latency reductions (e.g., 1,900 ms to 270 ms for a 28-field support triage task) with 100% syntactic validity and calibrated field-level probabilities. The engine prefills a single KV-cache, broadcasts it across all schema fields, and slices logits to valid candidate tokens for enum fields with up to 255 choices.

Attackers Actively Exploiting Critical Vulnerability in Super Forms Plugin

Attackers are actively exploiting a critical unauthenticated file upload flaw in the Super Forms WordPress plugin to deploy PHP backdoors for RCE.

Wordfence disclosed on July 9, 2026 a critical unauthenticated arbitrary file upload vulnerability in the Super Forms WordPress plugin, which has roughly 13,000 active installations. Unauthenticated attackers can upload arbitrary files, including PHP backdoors, to achieve remote code execution. The vendor now reports that attackers are actively exploiting the flaw in the wild.

Wordfence · 13d agoExploit / PoC in the wild

CVE-2026-67211: Apache OpenNLP: OOM DoS via Unbounded Array Allocation in SymSpellModelSerializer

Apache OpenNLP CVE-2026-67211: unbounded map pre-sizing in SymSpellModelSerializer enables out-of-memory denial of service in opennlp-symspell 3.0.0-M4/M5.

CVE-2026-67211 affects the opennlp-symspell artifact in versions 3.0.0-M4 and 3.0.0-M5 only. The SymSpellModelSerializer.create() method performs unbounded map pre-sizing, allowing crafted input to trigger out-of-memory denial of service. Releases 1.x and 2.x are unaffected because the spellcheck extension was introduced in 3.0.0-M4; the issue is resolved in 3.0.0-M6.

CVE-2026-82428: Apache Storm Client: Cross-Tenant Dependency Jar Substitution via Predictable Blob Keys

Apache Storm stores shared dependency jars under predictable Maven-derived blob keys, allowing one tenant to substitute jars other tenants execute.

CVE-2026-82428 affects Apache Storm Client (org.apache.storm:storm-client) versions 3.0.0 before 3.1.0, rated important. Dependency artifacts uploaded with storm jar --artifacts were stored under blob keys derived only from the Maven coordinate, making keys identical and predictable for every cluster user. When a blob already existed, the uploader suppressed the collision, enabling a tenant to substitute dependency jars later executed by other tenants in cross-tenant attacks. Fixed in version 3.1.0.

oss-security · 3d agoVulnerabilityCVE-2026-82428

Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training

Controlled mid-training experiments on Qwen3-8B-Base find each domain has a 10-40% coverage optimum and domain gaps survive alignment SFT.

Using Qwen3-8B-Base (with a 4B replication) across five semantically rule-disjoint KOR-Bench domains, the authors train 30 data allocations spanning the five-domain simplex at five seeds each. All five domains show interior optima in the moderate 10-40% coverage band, and domain gaps persist after a fixed-budget compensatory SFT pass, which raises 116/120 cells yet bridges 0/240 pairs at a 5% threshold. Zero coverage collapses mid-training-only accuracy, though a FineWeb-Edu-only control shows the collapse is partly generic drift. The results argue mid-training data composition requires principled design rather than reliance on later alignment.

arXiv cs.AI / cs.LG / cs.CL · 8d agoAI research1

[0day-rubbish] Accurate Online Private Cloud on-prem (current) Unauthenticated Hessian deserialization leading to JNDI remote class loading (9.8)

0day Rubbish disclosed an unauthenticated Hessian deserialization flaw in Accurate Online Private Cloud on-prem allowing JNDI remote class loading, rated 9.8.

The 0day Rubbish Research Team publicly disclosed an unauthenticated Hessian deserialization vulnerability in the current on-premises release of Accurate Online Private Cloud. The flaw lets unauthenticated attackers trigger JNDI remote class loading, a path that typically yields remote code execution. The issue carries a CVSS 9.8 rating. No CVE identifier or evidence of in-the-wild exploitation was included in the disclosure.

Full Disclosure · 8d agoVulnerability

Over 440,000 Exploit Attempts Target Super Forms and Elementor Pro RCE Flaws

Wordfence blocked 440,000+ exploit attempts against critical unauthenticated RCE flaws in WordPress plugins Super Forms and Elementor Pro.

Wordfence reports mass exploitation of two unauthenticated arbitrary file upload RCE flaws: CVE-2026-14894 in Super Forms (CVSS 9.8, fixed in 6.3.314) and CVE-2026-32475 in Elementor Pro (CVSS 9.0/9.8, fixed in 4.2.2), with over 250,000 and 190,000 blocked exploit attempts respectively. Attackers upload Base64-encoded PHP web shells such as Mushr00w_upl.php to execute code, create administrator accounts, exfiltrate data, or seize sites. Super Forms exploitation began July 14, 2026 and peaked above 40,000 requests on August 18; Elementor Pro attacks started August 19. Successful Elementor Pro exploitation requires a published page with a Form widget containing a File Upload field.

The Hacker News · 13d agoExploit / PoC in the wildCVE-2026-14894CVE-2026-32475

Building a Production Greek-English Speech Recognizer

Engineering report details Sophea, a production Greek-English ASR reaching 4.26% WER on public English sets via ROVER ensemble and data-pipeline calibration.

Across 23 training iterations, two architectures, and nine production gates, no single data composition passed all gates; a three-model ROVER ensemble reached 9 of 9 gates and cut overlapping-speech WER from 53.35% to 37.87%. Calibrating an audio-quality filter against in-domain anchors reduced discarded scored Greek audio from 98.7% to 10.6%, and a pre-registered ablation traced a hallucination defect to one training-data package. The sophea/asr-k1 preview arbiter lists 4.26% average WER on eight public English test sets and 25.88% WER on live Greek noisy traffic; no weights or training data are released.

Hugging Face daily papers · 6d agoAI research

TokenRhythm/NeoHorse-1-4B — new model trending #30 on Hugging Face

TokenRhythm releases NeoHorse-1-4B, an Apache-2.0 agentic fine-tune of Qwen3.5-4B claiming +5.93 benchmark macro-average gain.

NeoHorse-1-4B is a roughly 4B-parameter text-only causal language model post-trained by TokenRhythm from Qwen/Qwen3.5-4B for agent harnesses, tool use, coding, and instruction following. It applies routing-guided curriculum SFT and routing-guided on-policy distillation over execution trajectories as an early prototype toward recursive self-improvement (RSI). The release reports a 64.87 macro average across ten benchmarks versus 58.94 for Qwen3.5-4B (+5.93) and is distributed under Apache-2.0, trending #30 on Hugging Face.

Hugging Face trending models · 12d agoModel release1

CVE-2026-84501: Apache ZooKeeper: Operational log forgery via newline injection in EnsembleAuthenticationProvider

Unauthenticated attackers can forge Apache ZooKeeper operational log lines via newline injection in crafted ensemble authentication requests.

CVE-2026-84501 (moderate severity) affects Apache ZooKeeper 3.9.0-3.9.5 and 3.8.0-3.8.6. An unauthenticated attacker can inject arbitrary fake log lines into the operational log by sending a crafted add_auth("ensemble", ...) request containing newline characters. The forged entries could mislead operators or corrupt log-based monitoring and forensics.

oss-security · 1d agoVulnerabilityCVE-2026-845011

CVE-2026-68536: Apache MyFaces: Server-Side Request Forgery / Local File Inclusion Vulnerability

Apache MyFaces discloses moderate SSRF and local file inclusion vulnerability CVE-2026-68536 affecting all maintained 2.2 through 4.1 branches.

Apache MyFaces (org.apache.myfaces.core:myfaces-impl) disclosed CVE-2026-68536, a server-side request forgery and local file inclusion vulnerability rated moderate. Affected versions include the 2.2.*, 2.3.*, 3.0.*, 4.0.*, 4.1.* and 2.3-next-* branches. No exploitation details or patch status were provided in the disclosure.

XHToken/Spark-X2.5-4B-GGUF — new model trending #30 on Hugging Face

XHToken released GGUF weights of Spark-X2.5-4B, a compact model with 1M-token context and 200+ language support, under Apache 2.0.

The Hugging Face repository provides BF16 GGUF conversions of Spark-X2.5-4B, a compact general-purpose language model for conversation, writing, translation, reasoning, coding, tool use, and agentic workflows. The model uses a hybrid attention architecture, supports a native context length up to 1M tokens, and covers more than 200 languages. Local inference is supported through Ollama and LM Studio via an XHToken llama.cpp fork, with a --think=false flag to disable thinking mode for faster responses. Released under Apache License 2.0; it was trending #30 on Hugging Face at publication.

Hugging Face trending models · 19d agoModel release1

Knowledgator Releases GLiFormer: A 575M-Parameter Encoder That Hits 91.10 F1 on Nested JSON Extraction Without Generating Tokens

Knowledgator released GLiFormer, an Apache-2.0 encoder (264M/575M) handling NER, classification, relations, and nested JSON extraction, scoring 91.10 F1.

Knowledgator Engineering released GLiFormer, a schema-conditioned encoder that performs NER, classification, relation extraction, nested JSON structuring, and embeddings without generating output tokens. GLiFormer Large v1 has 575.6M parameters and scores 91.10 F1 on nested JSON extraction, close to GPT-5.6-luna's 91.96; both checkpoints are Apache 2.0 on Hugging Face. Reported median latency is 69 ms on GPU for the base model, though relation extraction (21.33 micro-F1) still trails GLiNER-Relex and larger LLMs.

MarkTechPost · 12h agoModel release1

Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization

ModerationBench shows foundation models can nearly triple Bluesky's moderation F1 (0.60 vs 0.22), with instruction- and example-driven guidance performing comparably.

Researchers built ModerationBench, a new benchmark of 4,000 manually annotated in-the-wild posts from Bluesky, to test whether foundation models can reliably operationalize content moderation policies. They systematically compare instruction-driven guidance (reasoning from policy precepts) with example-driven guidance (generalizing from precedents) for Vision-Language Models. Both paradigms achieve comparable peak effectiveness, and foundation models nearly triple the F1 of Bluesky's deployed moderation system on Random Posts (0.60 vs 0.22).

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

DPRK APTs: Ted backdoor and curlRAT target South Korean media and automotive sectors

Rapid7 uncovered a DPRK-linked Linux toolkit using a HAProxy-embedded ted backdoor, SSH keylogger, and curlRAT against South Korean media and automotive firms.

Rapid7 Labs identified a previously undocumented framework attributed with medium confidence to DPRK actors, targeting South Korean automotive and media organizations likely since early 2025. The toolkit embeds a backdoor compiled into HAProxy 2.8.12 using its filter API, plus trojanized crond, agetty, atd, sshd, and polkitd, an SSH keylogger storing credentials under /var/lib/sshd/, and a curl-based RAT with a watchdog thread. It enables remote command execution, malicious script injection into served webpages (a watering-hole loop), credential harvesting, and long-term surveillance. Hardcoded C2s are associated with APT37 via ThreatFox, and exposed groupware portals and mail servers align with Kimsuky tradecraft; the initial access vector and any CVE remain unconfirmed.

Rapid7 Blog · 12d agoThreat actor in the wild1

AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing

Open-source speech foundation model AuK unifies generation and editing, trained on 1.95 million hours, with distilled AuK-Flash achieving 4.5x speedup.

AuK is an open-source foundational model that unifies speech generation and editing through natural-language instructions and audio context, trained on approximately 3.03 billion instruction-audio instances and 1.95 million hours of supervision across five task families including generation, content editing, and acoustic editing. It combines a multimodal LLM for semantic conditioning, a VAE jointly trained on speech, general audio, and music, and a hybrid rectified-flow Transformer using dual-stream MMDiT blocks followed by unified single-stream DiT blocks. Post-training applies human-feedback preference optimization for editing and reward-based reinforcement learning for generation, and the distilled AuK-Flash performs 4-step inference without classifier-free guidance at a 4.5x wall-clock speedup. Source code and model weights are released.

Hugging Face daily papers · 9d agoModel release2

[AINews] Fal’s H3 Max Live breaks the infinite videogen barrier

Fal post-trained MiniMax H3 into a 'Max' variant with 35x-faster inference, enabling faster-than-realtime AI video generation and infinite streams.

Fal post-trained MiniMax's H3 model into a 'Max' variant and optimized it for its in-house inference engine, achieving roughly 35x the speed of the official endpoint. The optimization enables faster-than-realtime video generation, demonstrated by an infinite interactive AI-generated stream productized by levels.io. The roundup also notes Meta Muse Code's general availability with an SDK, open DeepSeek-V4-Flash-Vision-Exp weights, GLM-5.3-Flash's strong agentic cost/performance rankings, and Tencent's 770B-parameter Hy4 Preview MoE with 49B active parameters.

Latent Space · 16d agoAI industry

CVE-2026-73470: Apache Syncope: Delegating users can grant unowned Roles

Apache Syncope CVE-2026-73470 lets delegated users grant roles they do not own via crafted delegations.

Apache Syncope disclosed CVE-2026-73470, an improper privilege management vulnerability rated important. Delegations can be created or updated so that delegated users are able to grant roles they do not own, breaking ownership constraints. The flaw affects syncope-core-provisioning-java in versions 3.0.0-M0 through 3.0.16, 4.0.0-M0 through 4.0.7, and 4.1.0-M0 through 4.1.2. Users are advised to upgrade to the latest fixed releases.

oss-security · 2d agoVulnerabilityCVE-2026-73470

Apache Syncope Vulnerabilities Allow Attackers to Execute Malicious Code and Bypass Controls

Apache Syncope fixed three flaws enabling SQL injection, Groovy sandbox escape, and JWT token theft to impersonate higher-privileged users.

Apache Syncope, an open-source identity management and access governance platform, disclosed CVE-2026-82232, a stacked-query SQL injection in the Task search sort parameter; CVE-2026-77147, a Groovy sandbox escape via malicious Command classes; and CVE-2026-73178, retrieval of signed JWT access tokens via REST enabling impersonation of more privileged users. All three flaws require administrator-level entitlements to exploit and affect Syncope 3.0, 4.0, and 4.1 releases. Fixes shipped in versions 4.0.8 and 4.1.3, with researchers Alon Galili and n0mi1k credited.

SonicWall's SMA1000 boxes under active attack again

SonicWall warns attackers are chaining two SMA1000 zero-days, a CVSS 10.0 SSRF and command injection, to compromise VPN gateways.

SonicWall says attackers are actively exploiting two chained zero-days in SMA 1000 appliances: CVE-2026-83548, a pre-authentication SSRF rated CVSS 10.0, and CVE-2026-83549, a post-authentication OS command injection (CVSS 7.8) in the Appliance Management Console. Hotfixes are available for SMA 6210, 7210, and 8200v appliances with no workarounds; SonicWall recommends reimaging compromised devices, rotating passwords, and resetting TOTP tokens. NHS England assesses further exploitation as almost certain, following a similar exploited pair in July when CISA added CVE-2026-15409 to its KEV catalog.