Search: “ignition”

4 stories in the last 30d

CISA reports a permissions flaw (CVE-2026-77393, CVSS 8.8) in Inductive Automation Ignition <=8.1.53 letting authenticated users create projects; fixed in 8.1.54.

CISA republished Inductive Automation's advisory for CVE-2026-77393, an incorrect default permissions issue (CWE-276) in Ignition 8.1.53 and earlier. The Gateway "Create Project Role(s)" setting shipped blank, allowing any authenticated user who can execute gateway scripts to create projects. Ignition 8.1.54 restricts project creation to Designer sessions and the 8.3 series is unaffected. CISA notes no known public exploitation of this vulnerability.

CISA AdvisoriesSep 3, 12:00 UTC · 13d agoAdvisory CVE-2026-77393

[Control Systems] Inductive Automation security advisory (AV26-892)

Canada's Cyber Centre relayed a CISA ICS advisory for an Inductive Automation Ignition vulnerability affecting versions up to 8.1.53.

The Canadian Centre for Cyber Security published control systems advisory AV26-892, noting that as of September 4, 2026, Inductive Automation is affected by a vulnerability in Ignition versions prior to or equal to 8.1.53. The advisory references CISA's ICS advisory (ICSA-26-246-06) and its CSAF file, and encourages users and administrators to review the linked resources and apply necessary updates as they become available. Ignition is a widely deployed industrial automation platform, so affected OT operators should patch promptly.

Canadian Centre for Cyber SecuritySep 8, 17:28 UTC · 8d agoAdvisory

Mathematicians want proof OpenAI didn’t use their work

Mathematician Andreas Thom publicly accused OpenAI of opacity over whether ChatGPT conversations contributed to its non-sofic groups mathematics result.

A second mathematician, Andreas Thom, accused OpenAI of 'dishonest' behavior and insufficient transparency about training data after OpenAI announced a result in non-sofic groups, Thom's area of expertise. He emailed OpenAI researchers Sébastien Bubeck and Mark Sellke asking whether his ChatGPT interactions fed training or reasoning, but found the answers did not rule out indirect use. The dispute follows Tristan Buckmaster's questions about the Millennium Prize Navier-Stokes solution, where OpenAI denied using specific user data but could not rule out de-identified usage data. Researchers told The Verge they worry such competition with AI labs will make mathematics more secretive.

The Verge · AISep 10, 11:00 UTC · 6d agoAI industry

Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion Prediction

ICF-DLM, the first language-model-based inertial confinement fusion predictor, cuts peak-timing error from 11.6 to 9.2 steps versus LLaMA-3-8B.

Each National Ignition Facility shot costs roughly one million dollars, motivating accurate AI surrogates for predicting 512-step neutron-rate waveforms from laser pulses and target parameters. ICF-DLM combines physics-typed decomposition into yield, peak timing, and local waveform; bidirectional denoising that defers commitment to peak location; and a physics-driven PPO reward. On ICFBench (50,000 simulations plus 232 experimental shots) it outperforms a matched autoregressive LLaMA-3-8B, classical sequence models, and LLM-based time-series predictors.

arXiv cs.AI / cs.LG / cs.CLSep 7, 17:00 UTC · 9d agoAI research