$ 𝙺𝚊𝚗𝚎 𝙲𝙻𝙸 --𝚝𝚒𝚙 𝟶4💡 Add --agent, and the output becomes NDJSON, one event per line. Grab just the verdict: 𝚔𝚊𝚗𝚎-𝚌𝚕𝚒 𝚛𝚞𝚗 "..." --𝚊𝚐𝚎𝚗𝚝 2>/𝚍𝚎𝚟/𝚗𝚞𝚕𝚕 | 𝚝𝚊𝚒𝚕 -1 | 𝚓𝚚 -𝚛 .𝚜𝚝𝚊𝚝𝚞𝚜 Benefit: your AI agent reads pass/fail & every value you stored, no log scraping

This is a neat tip! It's wild how NDJSON can streamline data handling. But, what about the potential complexity when managing multiple events? If each line brings new variables, how do we maintain clarity in our outputs?

✨ Use commands like: - `picmal-cli convert -i photo.heic -f jpg` - `picmal-cli compress -i big.png --quality 70` - `picmal-cli watch` to monitor a folder Also supports presets, resize, metadata stripping, color/DPI options, watermarks, and NDJSON output for easy integration.

TextMerger 1.0 Released: A Lightweight Cross-Platform Tool for Fast Text File Merging withdata.com/blog/pr/textmer… June 12, 2026 — Withdata Software officially launches TextMerger 1.0, the first official release of our brand-new desktop utility built to simplify the process of combining multiple text files. Designed for efficiency, privacy and ease of use, this all-in-one text merging solution caters to office workers, developers, data analysts and system administrators who frequently need to consolidate bulk text-based documents. Core Introduction Manually copying and pasting dozens or even hundreds of text files is time-consuming and error-prone. TextMerger 1.0 eliminates this tedious work by enabling one-click merging of unlimited text files. As a lightweight offline application, it delivers fast processing speed while fully protecting local data security. The software is fully compatible with Windows, Linux and macOS, ensuring consistent performance across mainstream desktop operating systems. Standout Features 1. Unlimited Batch Merging There is no strict limit on the number of files for daily use. You can add and merge hundreds of text files at a single time, perfectly handling bulk merging tasks for logs, data records and document fragments. 2. Preserve Original File Format The tool retains original line breaks, content layouts and basic styles of all source files after merging, so you do not need to adjust formatting repeatedly. It also supports the practical option to keep only the first header row when merging structured files like CSV. 3. Wide Encoding Compatibility TextMerger supports mainstream text encodings including UTF-8, ANSI and ASCII. It effectively avoids garbled characters caused by inconsistent encodings between different files during the merging process. 4. Customizable File Order You can freely drag and drop files in the list to adjust the merging sequence, so the final combined document follows your expected arrangement completely. 5. Lightweight & High Performance The program requires no complex installation and occupies minimal system resources. It processes files in milliseconds even when handling large batches or large-size text files, bringing a smooth operating experience. 6. 100% Offline & Data Security All file processing is completed locally on your device. No files or private data will be uploaded to any server, which fully safeguards sensitive business data, internal logs and personal documents. 7. Rich Supported File Formats Beyond standard TXT documents, TextMerger works seamlessly with CSV, TSV, JSONL/NDJSON, log files, script files and other text-based formats, covering most common text processing scenarios. Simple Workflow Using TextMerger is extremely straightforward, with just four simple steps to complete file merging: Add Files: Select all text files that need to be combined. Adjust Sequence: Drag files to reorder them as required. Start Merging: Click the Merge button to run the task instantly. Save Output: Export the merged complete file to your local folder. Get Started Today TextMerger 1.0 is now available for download. Whether you need to merge scattered logs, combine data tables, or organize fragmented documents, this handy tool will greatly optimize your workflow. Download TextMerger now to experience efficient, safe and convenient bulk text file merging. Withdata Software will continue to iterate and optimize TextMerger based on user feedback, bringing more practical functions and better performance in future updates.

🇮🇳 India - Federal Bank - A threat actor has reposted and distributed an alleged Federal Bank customer dataset, claiming it originated from a ransomware-related breach disclosed in December 2024. According to the listing, the dataset contains approximately 637,895 records and includes highly sensitive personally identifiable information (PII). The allegedly exposed data includes: * Customer names * Customer IDs * Dates of birth * PAN numbers * Aadhaar/UID numbers * Passport numbers * Driving license numbers * Voter IDs * Mobile and phone numbers * Email addresses * Residential and mailing addresses * Gender and demographic information * Family-related details The actor claims to have converted the original dataset into NDJSON format and released it through underground channels. A sample record was provided as proof of possession. Daily Dark Web has not independently verified the authenticity of the dataset or whether it directly originated from Federal Bank systems. Analyst Note: The combination of PAN, Aadhaar, passport, voter ID, driving license, contact information, and address data represents one of the highest-risk identity exposure scenarios. If authentic, affected individuals could face increased risks of identity theft, financial fraud, account takeover attempts, SIM-swapping, and highly targeted social engineering campaigns. #DDW #Intelligence #DarkWeb #India

Minería de datos y mapa interactivo de actividad pública en X sobre @leirediezpas (2006-2019). Explora el grafo y bájate todas las relaciones de tuits que mencionan a la cuenta: CSV, JSON, NDJSON y Gephi. Por @686f6c61 686f6c61.github.io/Leire-Min…

🚨🇮🇳 A threat actor known as 0xSec is distributing a dataset allegedly tied to Federal Bank (federalbank.co.in), an Indian private sector bank. The actor claims the bank was the victim of a data breach on December 27, 2024, attributed to a ransomware group. The affected data allegedly includes customer names, customer IDs, dates of birth, PAN numbers, parents' and spouse names, age, sex, driving license numbers, passport numbers, UID (Aadhaar) numbers, voter IDs, mobile and phone numbers, emails, and full address details. The actor states the data was converted into NDJSON files totaling 637,895 lines, with a sample posted. Claim is unverified. 💥 Stop guessing what's redacted. Paid subscribers see everything: darkwebinformer.com/pricing

There's a free, public read API. Query 104k claims by country, actor, fact-checker, verdict, topic, year, or full-text. Bulk NDJSON download too. GET /api/v1/claims GET /api/v1/stats GET /api/v1/meta Demo key - dl_live_bb0a86eadd276c14654f52f84f73470531b2bc3e

Minería de datos y mapa interactivo de actividad pública en X sobre @leirediezpas (2006-2019). Explora el grafo y bájate todas las relaciones de tuits que mencionan a la cuenta: CSV, JSON, NDJSON y Gephi. Por @686f6c61 686f6c61.github.io/Leire-Min…

Minería de datos y mapa interactivo de actividad pública en X sobre @leirediezpas (2006-2019). Explora el grafo y bájate todas las relaciones de tuits que mencionan a la cuenta: CSV, JSON, NDJSON y Gephi. Por @686f6c61 686f6c61.github.io/Leire-Min…

Minería de datos y mapa interactivo de actividad pública en X sobre @leirediezpas (2006-2019). Explora el grafo y bájate todas las relaciones de tuits que mencionan a la cuenta: CSV, JSON, NDJSON y Gephi. Por @686f6c61 686f6c61.github.io/Leire-Min…

Minería de datos y mapa interactivo de actividad pública en X sobre @leirediezpas (2006-2019). Explora el grafo y bájate todas las relaciones de tuits que mencionan a la cuenta: CSV, JSON, NDJSON y Gephi. Por @686f6c61 686f6c61.github.io/Leire-Min…

Minería de datos y mapa interactivo de actividad pública en X sobre @leirediezpas (2006-2019). Explora el grafo y bájate todas las relaciones de tuits que mencionan a la cuenta: CSV, JSON, NDJSON y Gephi. Por @686f6c61 686f6c61.github.io/Leire-Min…