Search: “HTML::FormHandler”

CVE-2026-85484: HTML::FormHandler versions before 0.410002 for Perl render option group labels and radio button labels into HTML without escaping

HTML::FormHandler before 0.410002 for Perl renders option group and radio button labels unescaped into HTML, enabling XSS (CVE-2026-85484).

Robert Rothenberg disclosed CVE-2026-85484 on the oss-security mailing list, affecting HTML::FormHandler versions before 0.410002 for Perl. The module renders option group labels and radio button labels into HTML without escaping, which can enable cross-site scripting in applications using the rendered markup. The issue is addressed in version 0.410002.

oss-security·Sep 8, 20:16 UTC · 7d agoVulnerability 2 sourcesCVE-2026-85484

CVE-2026-85630: HTML::FormHandler versions before 0.410002 for Perl render field attributes into HTML without escaping using the process_attrs method

CVE-2026-85630: HTML::FormHandler Perl versions before 0.410002 render field attributes into HTML unescaped, enabling HTML injection.

The Perl module HTML::FormHandler before version 0.410002 renders field attributes into HTML without escaping via the process_attrs method, per an oss-security disclosure. Applications using affected versions could allow unescaped markup to be injected into generated HTML. Users should upgrade to version 0.410002 or later.

oss-security·Sep 8, 20:30 UTC · 7d agoVulnerability 2 sourcesCVE-2026-856301

Forminator WordPress Flaw Can Enable Unauthenticated RCE via Malicious PHP Uploads

Wordfence disclosed CVE-2026-15748, a critical unauthenticated file upload flaw enabling RCE in the Forminator Forms WordPress plugin, patched in version 1.56.2.

Wordfence reported CVE-2026-15748 (CVSS 9.8) in Forminator Forms, a WordPress plugin with over 600,000 active installations, allowing unauthenticated attackers to upload arbitrary PHP files and achieve remote code execution. The flaw stems from insufficient file type validation in the handle_file_upload() function, and exploitation requires a form containing both a File Upload field and a Select field, plus a custom upload storage root lacking .htaccess PHP protection. All versions up to and including 1.56.1 are affected; version 1.56.2 released July 31, 2026 fixes the issue. Wordfence also disclosed CVE-2026-15826 (CVSS 9.8), an authentication bypass in User Profile Builder (40,000+ installs) letting unauthenticated attackers log in as administrator, fixed in version 3.16.5 on July 16, 2026.

The Hacker News·Aug 17, 18:22 UTC · 29d agoVulnerabilityCVE-2026-15748CVE-2026-15826

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·Sep 4, 08:48 UTC · 12d agoExploit / PoC in the wildCVE-2026-14894CVE-2026-32475

Elementor Pro RCE Flaw Under Active Attack

A critical Elementor Pro Forms module flaw allowing unauthenticated file uploads is under active attack against widely used WordPress sites.

A critical vulnerability in Elementor Pro, a widely used WordPress page builder plugin, allowed unauthenticated attackers to upload arbitrary files through the plugin's Forms module. The SOCRadar report indicates the flaw is being actively exploited in the wild. No CVE identifier was provided in the available text.

SOCRadar·Sep 4, 13:34 UTC · 11d agoExploit / PoC in the wild

WordlistLoader Delivers Amatera via ClickFix, SynkLoader Phishes Windows Passwords

Gen Digital details WordlistLoader delivering Amatera Stealer via ClickFix and EtherHiding, while SynkLoader phishes Windows credentials through Microsoft Teams.

Gen Digital identified WordlistLoader, an intermediate stage that reconstructs shellcode encoded as plain English words (or 16-byte UUID chunks) and loads Amatera Stealer 4.3.3-alpha1, delivered through ClearFake ClickFix prompts on compromised websites. The chain uses EtherHiding to fetch JavaScript from a blockchain smart contract, hidden cmd.exe via conhost, WebDAV-mounted shares with rundll32 execution, and ETW bypass via hardware breakpoints. The stealer adds hardened WoW64 syscalls, Heaven's Gate indirect-syscall trampolines and a redesigned application-bound encryption bypass. Separately, Expel observed SynkLoader distributed via Microsoft Teams phishing impersonating IT service desks, installing an MSI from Azure blob storage and serving a fake lock screen to capture credentials.

The Hacker News·Aug 26, 05:08 UTC · 21d agoMalware

Critical Unauthenticated File Upload to RCE in Elementor Pro Plugin

Elementor Pro WordPress plugin has an unauthenticated arbitrary file upload flaw in its Forms module allowing remote code execution.

Patchstack disclosed a critical unauthenticated arbitrary file upload vulnerability in the Elementor Pro WordPress plugin that can lead to remote code execution. The flaw is in the Forms module's File Upload field, where the extension check and the file-move step run in two separate loops with inconsistent handling of empty file entries. The writeup describes exploitation via crafted upload submissions; no CVE id or evidence of in-the-wild exploitation is given in the post.

Patchstack·Aug 19, 17:17 UTC · 27d agoVulnerability

Elementor Pro WordPress Plugin Vulnerability Exploited to Hack Sites

Attackers are actively exploiting critical file-upload flaw CVE-2026-32475 in Elementor Pro, hacking WordPress sites; Defiant has blocked over 190,000 exploit attempts since patching.

Defiant warns that attackers are exploiting CVE-2026-32475 (CVSS 9.8), an unauthenticated arbitrary file upload flaw in the Elementor Pro WordPress plugin's form submission handling, which affects all versions up to 4.2.1 and was patched in version 4.2.2 on August 19. Exploitation began immediately after the fix shipped, with Defiant blocking over 190,000 exploit attempts to date; roughly two-thirds of Elementor's 10 million installations still ran a vulnerable version as of September 4. Successful exploitation writes attacker-controlled PHP files to /wp-content/uploads/elementor/forms/ and can lead to full site compromise; administrators should check that directory for PHP files and review requests to /wp-admin/admin-ajax.php.

SecurityWeek·Sep 5, 13:00 UTC · 11d agoExploit / PoC in the wildCVE-2026-32475

27.5KB language-agnostic WebGPU syntax highlighter

A developer released gpu-lexer, a 27.5KB language-agnostic syntax highlighter that uses a tiny WebGPU model to label code tokens in the browser.

gpu-lexer splits source into words, whitespace, and symbols, then a small WebGPU model uses local and whole-file context to assign nine token classes, working on languages never seen in training. On held-out files, 12.57% of token labels differ from Shiki, though this measures agreement with Shiki rather than objective correctness. In benchmarks against Shiki 4.4.3, Prism.js, Highlight.js, Sugar High, and Starry Night, it highlighted 10 concatenated copies of three.min.js (5.56M characters) about 10x faster on an Apple M4 Pro in Chrome 152. The author frames it as an experiment, not a grammar-equivalent highlighter.

Hacker News · security·Sep 9, 01:14 UTC · 7d agoAI tools & infraHN 21↑ · 5 comments1

RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives

RenderFormer-V2 is a transformer-based neural renderer handling caustics, volumetric scattering and out-of-distribution materials without per-scene training or specialized code.

RenderFormer-V2 is a learned transformer-based neural rendering model that models global light transport as a sequence-to-sequence transformation, handling caustics, volumetric scattering, environment lighting, textured and displaced surfaces and out-of-distribution materials. It uses a two-stage process: a view-independent stage resolving primitive-to-primitive transport, and a view-dependent stage converting the neural scene representation into pixels. Improvements include combined windowed-attention with a rendering-informed attention sink for scalability, support for heterogeneous primitives like environment maps and participating media, and a surface-reflectance-independent neural material encoding, validated across diverse scenes with extensive ablations.

Hugging Face daily papers·Sep 3, 20:00 UTC · 12d agoAI research

Engineered Persuasion: Evaluating Personalized Pretexts in LLM-Generated Spear Phishing

A study of 180 US workers found each LLM phishing personalization level raised click-intention odds by 28%, but credibility depends on context fit.

The arXiv paper evaluates how personalized pretexts in LLM-generated spear phishing affect perceived credibility, using 180 US working adults across 1,436 evaluations of emails with four cumulative personalization levels, from workplace context to shared-project details. Convincingness rose 2.40 points per level in sensitivity analysis and click-intention odds increased 28% per level, while non-clickers shifted toward deleting rather than reporting. Qualitative coding showed details matching the recipient's role and routines supported credibility, whereas incorrect, vague, or channel-inappropriate details raised suspicion. The authors argue personalization effectiveness depends on pretext fit, with implications for workplace security training.

arXiv cs.CR·Sep 3, 19:21 UTC · 12d agoResearch

CVE-2026-84939: Apache FreeMarker: A malformed locale may be exploitable for path traversal attacks

Apache FreeMarker CVE-2026-84939 permits path traversal via a malformed locale in template loading; fixed in FreeMarker 2.3.35.

A path traversal vulnerability in Apache FreeMarker's template loading mechanism can be triggered when an attacker controls a malformed locale value. FreeMarker 2.2.0 through 2.3.34 are affected for both the org.freemarker:freemarker and freemarker-gae artifacts, while 2.3.35 is unaffected. No exploitation or CVSS details were included in the announcement.

oss-security·Sep 8, 15:27 UTC · 7d agoVulnerabilityCVE-2026-84939

Cartesian – AI 3D Modeling for Design

Formas launches Cartesian, an AI 3D modeling tool for architecture and product design with natural-language editing and CAD exports.

Cartesian by Formas is an AI-powered 3D modeling tool aimed at architecture and product design that converts photos, rough plans, sketches, and scans into precise geometry. Users can edit models conversationally while explicitly preserved elements stay unchanged. It creates real solids and NURBS geometry and exports to AutoCAD DWG, Rhino 3DM, and SketchUp SKP, with BIM IFC support planned, removing the need for a separate desktop CAD license.

Hacker News · AI·Sep 15, 15:26 UTC · 21h agoAI industryHN 42↑ · 32 comments

New CSS Attacks Can Break Webmail Defenses to Steal Passwords and Tokens

The Hacker News·Aug 8, 08:03 UTC · Aug 8, 2026Exploit / PoC

CVE-2026-75650: StyleSmuggler — Critical RCE in Adobe Commerce and Magento

Akamai research details CVE-2026-75650 (StyleSmuggler), a critical remote code execution flaw in Adobe Commerce and Magento.

Akamai Security Research published analysis of CVE-2026-75650, dubbed StyleSmuggler, a critical remote code execution vulnerability affecting Adobe Commerce and Magento platforms. The research appears in Akamai's security blog. Full technical details were not available from the item metadata.

Akamai Blog·Sep 14, 12:00 UTC · 2d agoVulnerability 4 sourcesCVE-2026-75650

Technical Manual for a Toolkit for Measuring Contextual Individuation in Transformer Language Models

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.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 16:38 UTC · 11d agoAI research

What Matters, When? Diagnosing and Improving Conditional Visual Grounding in Visuomotor Imitation Policies

Researchers diagnose conditional visual grounding failures in visuomotor imitation policies and show targeted interventions substantially improve distractor robustness.

The paper studies why ACT-based visuomotor imitation policies fail when visually similar distractor objects or receptacles are introduced, finding sensitivity depends on both distractor type and manipulation stage. Interventions including distractor augmentation, phase-dependent attention regularization, and appearance-based visual prompting improve target selection while preserving spatial control information, with gains in simulation and on a physical UR3e. The same failure pattern is confirmed in a pretrained vision-language-action policy on a state-conditioned medical instrument-handling task.

arXiv cs.AI / cs.LG / cs.CL·Sep 4, 17:27 UTC · 11d agoAI research

Webmail CSS Attacks Expose a New Risk for AI

Security Affairs·Aug 9, 08:01 UTC · Aug 9, 2026Exploit / PoC

Foul Language: WordlistLoader Disguises Malware as Ordinary Text

ClickFix-style campaigns deploy WordlistLoader, which disguises malware as ordinary text, to deliver the increasingly prevalent Amatera infostealer.

Researchers describe WordlistLoader, a new loader that disguises malicious payloads as ordinary text or wordlist files to evade detection. It is being used in ClickFix-style social engineering campaigns to deliver Amatera, an increasingly prevalent infostealer. The obfuscation technique helps the campaign slip past file-type-based inspections.

Dark Reading·Aug 24, 20:51 UTC · 22d agoMalware in the wild

[20260805] - Core - Improper ACL checks for category webservice endpoints

Joomla fixes CVE-2026-72532, an improper ACL check letting unauthorized users create categories via webservice endpoints, in CMS 5.4.8/6.1.3.

Joomla disclosed an incorrect access control flaw (CVE-2026-72532) in category webservice endpoints, allowing unauthorized users to create categories for inaccessible components. It affects Joomla CMS 4.0.0-5.4.7 and 6.0.0-6.1.2 and is rated moderate impact and severity with low probability. The fix ships in Joomla 5.4.8 and 6.1.3 on 2026-08-18; it was reported by Amin Isayev and Geo.

Joomla Security Centre·Aug 17, 14:00 UTC · 29d agoAdvisoryCVE-2026-72532

Hackers Actively Exploit Critical WooCommerce Plugin Vulnerability to Upload PHP Backdoors

Attackers actively exploit CVE-2026-27540 (CVSS 9.8) in WooCommerce Wholesale Lead Capture plugin to upload PHP webshells; patch shipped in version 2.0.3.2.

CVE-2026-27540 (CVSS 9.8) in the WooCommerce Wholesale Lead Capture plugin affects versions 2.0.3.1 and earlier across roughly 6,000 active installations. The unauthenticated AJAX handler wwlc_file_upload_handler trusts a client-supplied file_settings allowlist, letting attackers upload shell.php for remote code execution. Wordfence has blocked more than 100,000 exploit attempts since disclosure, with spikes in June, July, and August 2026. The vendor fixed the flaw in version 2.0.3.2.

GBHackers·updated 05:48 UTC · 7h ago·first Sep 15, 12:05 UTC · 1d agoExploit / PoC in the wild 4 sourcesCVE-2026-27540

What Is a Website Attack Surface? A Beginner’s Guide to Reducing Risk

Sucuri's beginner guide explains how logins, plugins, APIs, and forgotten backups expand a website's attack surface and how to reduce that risk.

Sucuri published educational guidance explaining that login pages, contact forms, plugins, APIs, staging sites, and forgotten backups each add exposed components that constitute a website's attack surface. The article frames continuous attack surface reduction as a risk management practice for website owners. It is evergreen educational content rather than breaking incident news.

Sucuri Blog·Aug 19, 20:06 UTC · 27d agoIndustry

Ask HN: How do you manage skills files?

A Hacker News thread debates whether agent skill files are worth managing, citing 2–4x output-token reductions on flagship models in one company's testing.

Commenters argue skills are stored prompts that help less-technical users compensate for weak prompting, while one participant reports company testing found skills reduce flagship-model output tokens by roughly 2–4x, a gap growing with newer models. Others note skills can bundle reusable scripts and inline commands for deterministic context building, and that harnesses now execute backticked commands before the agent sees the skill. Some argue improving model capability makes downloadable skills redundant.

Hacker News · security·Sep 6, 19:27 UTC · 9d agoAI tools & infraHN 303↑ · 271 comments

Re: Vulnerabilities fixed in libxml2-2.15.4

libxml2 2.15.4 patches two flaws including a heap buffer overflow in xmlDictAddQString tracked as CVE-2026-86137 and CVE-2026-86138.

libxml2 releases before 2.15.4 are affected by an integer overflow in xmlDictAddQString in dict.c that leads to a heap-based buffer overflow, tracked as CVE-2026-86137 and CVE-2026-86138. The oss-security post from Debian's Salvatore Bonaccorso flags the fixed release for downstream tracking. No exploitation is mentioned in the disclosure.

oss-security·Sep 5, 12:16 UTC · 11d agoVulnerabilityCVE-2026-86137CVE-2026-86138

[webapps] Nodemailer 9.0.0 - File Read/ SSRF

A public proof-of-concept demonstrates arbitrary file read and SSRF in Nodemailer 9.0.0.

Exploit-DB entry 52654 contains a webapps proof-of-concept for Nodemailer 9.0.0 demonstrating both arbitrary file read and server-side request forgery. Nodemailer is a widely used Node.js email-sending library, so affected deployments could expose local files or internal services. The listing does not include a CVE identifier or evidence of in-the-wild exploitation.

Exploit-DB·Aug 18, 00:00 UTC · 29d agoExploit / PoC

WordPress XSS2Shell Flaw Turns Simple Login Bug Into Full Server Takeover

Security Affairs·Aug 7, 16:49 UTC · Aug 7, 2026Exploit / PoC1

Chrome DevTools Technique Enables Authenticated Session Hijacking in Live Windows Browsers

SpecterOps released CDP-Enable-BOF, a Beacon Object File that enables Chrome DevTools Protocol in live Chrome or Edge processes on Windows for session hijacking.

SpecterOps released CDP-Enable-BOF, an x64 Beacon Object File that activates Chrome DevTools Protocol inside running chrome.exe or msedge.exe processes on Windows, exposing cookies, history, saved passwords, and authenticated sessions without administrator rights. It calls Chromium's StartRemoteDebuggingServer on the browser UI thread to stay reliable under CFG, TLS, and CET, and was tested on Chrome 147 and Edge 147. The technique builds on work by DeathFlamingo and Cedric Van Bockhaven; Google had hardened remote debugging in Chrome 136 after attackers used it to steal cookies post-App-Bound Encryption. Defenders can watch Sysmon Event IDs 8 and 10 for injection into browser processes.

The Hacker News·Aug 25, 16:19 UTC · 21d agoResearch2

Show HN: LLM Attention Visualization

A developer released a browser-based tool that visualizes which past tokens influence each LLM output token using aggregated, value-weighted attention scores.

A Show HN project presents a React application built on Transformers.js that renders per-token attention influence by aggregating attention weights scaled by value-vector magnitudes across all attention heads and layers. To expose internal tensors, the author instrumented the ONNX computation graph, hosted a modified model on Hugging Face, and pre-generated prompts to avoid long model downloads in the browser. Demos with a 600-million-parameter model show how verbatim copying draws heavily on source tokens and how single outputs blend information from multiple phrases.

Hacker News · AI·Sep 8, 16:59 UTC · 7d agoAI tools & infraHN 41↑ · 9 comments