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Flextype v1.0.0-alpha.3 NULL access_token Authentication Bypass
Flextype CMS v1.0.0-alpha.3 API endpoints accept a NULL access_token because isset() validation lets requests bypass authentication.
Flextype CMS v1.0.0-alpha.3 API endpoints can declare access_token as a required parameter, but required-parameter validation only verifies the key exists in the request data. Authentication is then verified inside an isset($data['access_token']) condition, which in PHP treats a NULL value as absent. This allows requests supplying a NULL access_token to bypass authentication on affected endpoints. The flaw was disclosed on the Full Disclosure mailing list on September 3, 2026.
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Attackers Exploit Critical JFrog Artifactory Flaw to Mint Admin Tokens Days After Disclosure
Threat actors exploit CVE-2026-82329, a default-config authentication bypass in JFrog Artifactory, to mint administrator tokens days after patch release.
watchTowr reports that CVE-2026-82329 (CVSS 9.8), an authentication bypass in JFrog Artifactory patched in version 7.161.20 on August 28, 2026, is being actively exploited as of September 1. The flaw, in JFrog Access, lets unauthenticated attackers abuse a 'phantom' join key on default configurations to forge access and mint administrator-level credentials. Observed activity includes admin token generation, user, group, and token enumeration, and backdoor user creation in limited cases, raising supply chain poisoning and lateral movement risks for the widely used artifact repository.
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Fraudsters steal $6 million from Tectonic crypto platform after inflating token price
Attackers inflated Tectonic's Tonic token price 100x in 20 minutes and borrowed $74 million against it, stealing $6 million before Cronos halted activity.
Attackers manipulated the price of Tectonic's thinly traded Tonic token, raising it more than 100-fold in 20 minutes, then used the inflated tokens as collateral to borrow assets in an attempted $74 million theft. About $6 million left the platform; Cronos halted blockchain activity and later restored roughly $69 million in frozen funds via an on-chain rollback. Tectonic plans a phased reopening and a postmortem. TRM Labs says market manipulation now accounts for one in eight crypto hacks, with 32 incidents in 2026, and compares the case to the 2022 Mango Markets manipulation that led to a criminal conviction.
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Teaching Everyone to Fish for Tokens
Analysis argues open-source AI now depends heavily on Nvidia's financing, with a reported $26 billion bet shaping the open-weights ecosystem's future.
An Interconnects essay examines whether the open-source model recipe, exemplified by Ai2's Olmo and Nvidia's Nemotron releases, can become economically self-sustaining. It reports Nvidia is spending roughly $26 billion on near-open-source models to drive demand for its chips, and argues the open ecosystem faces an existential financing window over the next few years. The author predicts open models may fork toward efficiency, specialization, and on-prem enterprise agents rather than competing head-on with closed frontier labs.
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Critical Issabel PBX Command Execution Vulnerability Exploited in the Wild
Unauthenticated attackers exploit CVE-2026-89026 in Issabel PBX via forged JWT tokens to run OS commands; exploitation observed since September 9.
CVE-2026-89026 (CVSS v4 9.3) stems from a hard-coded HS256 JWT signing key in Issabel Framework's pbxapi/index.php, letting unauthenticated attackers forge bearer tokens and execute OS commands through the Asterisk Manager Interface originate endpoint. Issabel Framework versions before commit b97dbaf0b71c1c36f841e672b664afbeb02773bd are affected. Shadowserver Foundation first observed exploitation on September 9, 2026, and VulnCheck added the flaw to its Known Exploited Vulnerabilities database.
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Jev: New frontier model 40-400x cheaper and 20-200x faster
TypeSafe AI launches Jev, an early-access 'System One' model delivering calibrated structured outputs claimed 40-400x faster and cheaper than LLMs.
TypeSafe AI, founded by former OpenAI researcher Diogo Almeida, released its first 'System One Model' called Jev in early access. Jev forgoes string generation and is trained with Reinforcement Learning for Calibrated Decisions (RLCD) to produce type-safe structured values with calibrated probabilities. The company claims 70-500ms response times (40-200x faster), input pricing of $0.042 per million tokens, and free output tokens via a parallel sampling architecture. Target use cases include AI-powered workflows, real-time applications, and verification/guardrail tasks.
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JustFit: 200K-Token LLM Serving on a 24 GiB Laptop with Just-in-Time State Management
JustFit MLX runtime serves 200K-token contexts for Qwen3.8-27B on a 24 GiB MacBook via just-in-time state management.
JustFit is an MLX-based inference runtime combining KVExec for compressed KV execution, PhaseSwap for component residency, and StateTrans for state-preserving serving transitions, independent of weight quantization. On a 24 GiB M4 Pro MacBook running Qwen3.8-27B MXFP4, it completed 196,608 input and 16,384 output tokens, raising single-request context from the mlx-vlm baseline's 30,720 positions to 212,992 (6.93x). Performance tests show 19.11 tokens/s on a 32K-input probe with a 16,374 MiB median peak footprint, and the runtime answered 29 of 30 AIME 2026 problems correctly.
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FLAT: Resampling Image and Text into 1D Flexible-Length Aligned Transmodal Tokens for Retrieval and Generation
FLAT jointly trains a multimodal encoder with text-to-image and image-to-text decoders, producing flexible-length tokens that hit 83.1 GenEval on T2I after fine-tuning.
FLAT (Flexible-Length Aligned Transmodal representations) is a pre-training framework that jointly optimizes a shared multimodal encoder with T2I and I2T decoders, combining contrastive alignment with bidirectional cross-modal generative objectives. It maps visual and textual inputs into a unified continuous 1D sequence space and uses nested dropout over prefix-K tokens for dynamic output lengths. A single pre-training stage supports cross-modal retrieval and generation (71.1 GenEval), with task-specific fine-tuning reaching 83.1 GenEval on T2I, 40.5 BLEU-4 and 138.6 CIDEr on MS-COCO captioning, and strong Recall@5 on MS-COCO and Flickr30K.
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Credential Theft: How Attackers Steal & Use Stolen Credentials
Huntress explains how attackers steal credentials through phishing, AitM, infostealers, and dumping, then use them for lateral movement, BEC, and ransomware.
Huntress published an educational overview of credential theft, citing that roughly 70% of confirmed data breaches begin with stolen credentials. It details acquisition methods including phishing, adversary-in-the-middle attacks that capture MFA session tokens, infostealers (nearly a quarter of threats Huntress observed in 2025), Mimikatz-based credential dumping, credential stuffing, and password spraying. The piece then covers post-theft actions such as lateral movement, privilege escalation, account takeover, business email compromise, and ransomware, and closes with behavioral detection guidance and layered prevention strategies.
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The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE
Unit 42 demonstrates that root access on a Kubernetes node lets attackers spoof SPIFFE/SPIRE attestation and harvest co-located workloads' SVIDs.
Palo Alto Networks Unit 42 describes post-exploitation techniques in which an attacker with root on a compromised Kubernetes node spoofs Linux cgroup metadata used by the SPIRE agent during workload attestation, tricking it into issuing a co-located workload's SPIFFE Verifiable Identity Document to an attacker-controlled process. The research shows the core trust assumption of machine-identity systems—that the node is trusted—collapses once root is obtained, exposing all cryptographic identities scoped to that node. Unit 42 released an open-source tool, Spooffe, for defenders to test identity exposure, and notes the technique has not been observed exploited in the wild.
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AI spend per employee slumped at top firms in August — summer doldrums or a warning sign?
Ramp data across 70,000 companies shows August AI adoption grew just 0.4% while per-employee spend at top-spending firms fell nearly 10% to $7,205 amid declining token prices.
Ramp's spending data shows 56% of its customers paid for AI products in August, up only 0.4% month-over-month, with spend per employee in the top 1% of firms down almost 10% to $7,205. Average token costs have dropped to $0.68 per million tokens from a 2026 peak of $1.15 in March after price cuts by OpenAI and Anthropic, and the labs have not yet offset the cuts with volume, with customers shifting to cheaper models like ChatGPT 5.6-Terra and Claude Sonnet. The US Census Bureau's broader survey shows only 22% of businesses report using AI, suggesting Ramp's tech-heavy client base overstates adoption, while only 6.4% of AI-spending businesses used model-serving or inference platforms in August.
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CISA Warns Chinese AI Firms Extract Billions of Tokens From Claude, GPT, Gemini and Grok
CISA, NSA and FBI advisory says six Chinese AI firms extracted billions of tokens from Claude, GPT, Gemini and Grok via API proxies since late 2024.
A joint advisory from CISA, NSA and FBI alleges China-based AI companies including DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun and Z.AI harvested billions of tokens across millions of exchanges from Claude, GPT, Gemini and Grok variants since late 2024. Operators allegedly used API proxy 'transfer stations', account pools, bulk premium subscriptions and prompt injection or jailbreak-style requests to force models to reveal chain-of-thought reasoning. DeepSeek's R1 and V3 and Moonshot's Kimi-K2 and Kimi-K3 models reportedly benefited from the extracted data. CISA urged providers to add identity checks, monitor subscription-to-usage ratios, rate limit, and share infrastructure signals with cloud platforms.
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CVE-2026-56207: Apache Impala: SAML authentication bypass via forged bearer token
Apache Impala CVE-2026-56207 allows forged SAML bearer tokens on the hs2-http interface, letting attackers impersonate other users; fixed in 4.5.2.
Apache Impala versions 4.0.0 through 4.5.1 fail to verify the bearer token signature in the final step of SAML2 authentication for the hs2-http interface. An attacker can alter the username and act as another user. Users are recommended to upgrade to version 4.5.2, and Apache rated the issue critical. It was reported by Andrew Rukin of Arenadata.
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NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction
An 8.9B-parameter latent-space language model using next-concept prediction matches OLMo-3-7B pretraining loss with only 51.3% of the training tokens.
NCP-ArchPreview augments next-token prediction with Next Concept Prediction over a product-quantized concept vocabulary built from hidden states, trained jointly end-to-end. The 8.9B model was trained on 5.73T tokens from the Dolma-3 dataset, the largest latent-space language model demonstration to date. It consumes 51.3% of the tokens to reach OLMo-3-7B's final pretraining loss and outperforms it by 2.45 points on the downstream macro-average, including a 5.99-point GSM8K gain. The learned latent space also enables lightweight domain adaptation via a 17M-parameter VQ module and improves speculative drafting accepted length by 4.17%.
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