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Repost from Cyber Dispatch™️
Yemeni Cyberattack on the Zionist Regime's Power Grid
The hacking group "Uways al-Qarani" (أويس القرني) claimed in a statement that it carried out a cyber operation against the Zionist regime's electricity infrastructure.
The group stated that in this operation, the power grid's industrial control systems were targeted, and a large solar power plant near Tel Aviv, comprising more than 5,000 solar panels, was taken offline.
Hebrew-language media covered the news with concern, and in referencing this attack, warned about the vulnerability of the Zionist regime's critical infrastructure to cyberattacks.
This attack shows that Yemen has extended its confrontation with the Zionist regime into cyberspace, targeting the regime's critical infrastructure.
#CyberAttack #Yemen #ZionistRegime #Hacking #CyberWarfare #TGITM
@TheGhostITM
Repost from 𓂆 Palestine
An Immigrant Family Became a President Twice
By Yara Tabet
The story of Donald Trump’s family begins with a German immigrant who arrived in the United States as a teenager and eventually helped establish a family fortune that influenced American politics for generations.
Donald Trump’s grandfather, Friedrich Trump, was born in Kallstadt, Bavaria, in 1869. At the age of 16, he emigrated to the United States, arriving in New York in 1885. Like many immigrants of his era, he came seeking opportunity in a rapidly expanding country. He later became a U.S. citizen and began building a life through business.
During the Klondike Gold Rush, Friedrich Trump traveled north to Canada, where thousands of miners and prospectors were searching for gold. Instead of mining himself, he made money by providing services to the people who came to mine. In Bennett, British Columbia, he and a business partner operated the Arctic Restaurant and Hotel. The establishment offered food, alcohol, lodging, and entertainment to miners who had arrived in the remote gold-rush settlement.
Historical accounts and newspaper advertisements suggest that the hotel also accommodated prostitution. Advertisements referred to “private boxes for ladies and parties,” while the hotel reportedly provided rooms where miners could spend their gold dust. The evidence does not prove every detail of the business, but historians generally agree that establishments of this kind served as centers for drinking, gambling, lodging, and sexual services. Friedrich Trump’s success came from “mining the miners”: earning money from the needs of prospectors rather than extracting gold from the ground.
After making money in Canada, Friedrich returned to Germany with his wife, hoping to settle again in his homeland. However, Bavarian authorities rejected his return. He had left without properly completing military-service requirements and had not followed the required procedures for departing the country. Officials ordered him to leave, so he returned to the United States in 1905.
Back in New York, Friedrich Trump continued working and invested in property. He died in 1918, but the money and connections he left behind helped his son, Fred Trump, enter and expand the real-estate business. Fred Trump became a major New York developer, building apartments in Brooklyn and Queens and accumulating substantial wealth.
Donald Trump inherited not only money but also access to an established family company, real-estate holdings, and influential connections. He later expanded his public image through hotels, casinos, branding, television, and political campaigning. His rise shows how an immigrant family’s economic foundation can develop across multiple generations.
In 2016, Donald Trump became the 45th president of the United States. After losing the 2020 election, he returned to the White House following the 2024 election and became president again in 2025. Thus, a family that began with a teenage immigrant, a Canadian gold-rush hotel, and links to prostitution eventually reached the highest political office in the United States—twice.
“During the Canadian Gold Rush, Friedrich Trump’s hotel provided miners with food, alcohol, lodging—and prostitutes in exchange for gold dust.”
“A man who claims to hate Canada owes part of his family’s fortune to Canadians and the gold-rush miners who helped make his grandfather rich.”
“While waging war on immigrants, he married an immigrant and rose from an immigrant family—a contradiction woven into his own story.”
Fact-checking note: This article is based on information reviewed across multiple sources, including historical records, reputable reporting, and insights from my friend at Columbia University. It is intended to present the story accurately and inform readers respectfully, without offending or targeting anyone. - Yara Tabet
What is AI, and what are AI chips?
Artificial intelligence refers to systems that perform tasks requiring human-like intelligence: understanding language, recognizing patterns, making decisions. Modern AI relies on neural networks trained on vast datasets using AI chips—specialized processors (like GPUs, TPUs, or custom ASICs) designed for parallel computation. These chips, built by companies like Nvidia, Google, and Huawei, enable the training and deployment of large language models (LLMs) that power everything from ChatGPT to autonomous cyber agents.
Old-School Hackers vs. AI-Era Hackers
The difference between old-school and modern hackers is profound:
- Old-school hackers were artisans. They wrote every line of code, understood every syscall, and prized deep expertise. Their talent lay in creativity, persistence, and technical mastery.
- Today’s hackers are increasingly orchestrators. They use AI to automate reconnaissance, generate exploits, and evade detection. A novice can now prompt an LLM to produce working malware or scan a network for vulnerabilities—tasks that once required months of study.
This isn’t laziness; it’s leverage. AI amplifies impact. One operator can now launch campaigns that previously required entire teams.
Hacktivism Then and Now: From IRC Botnets to AI-Driven DDoS
In the 2000s and 2010s, hacktivist DDoS attacks relied on volunteer botnets, IRC-based C2, and tools like LOIC. Participants manually joined “operations,” flooding targets with traffic. Impact was limited by coordination and bandwidth.
Today, AI transforms DDoS in three ways:
1. Automation: AI agents can identify high-value targets, spin up cloud instances, and launch attacks without human intervention.
2. Adaptation: Machine learning models adjust attack patterns in real time to bypass mitigation systems, mimicking legitimate traffic or rotating IPs dynamically.
3. Scale: AI-powered botnets can recruit compromised IoT devices or cloud resources autonomously, creating larger, more resilient attack networks.
Hacktivists now use AI not just for DDoS, but for deepfake propaganda, automated disinformation campaigns, and targeted spear-phishing against officials. The goal remains political—but the methods are faster, smarter, and harder to trace.
Why Hackers Are Turning to AI
Hackers adopt AI for the same reasons militaries and corporations do: efficiency, scale, and advantage.
- Speed: AI reduces the time from vulnerability disclosure to exploit from weeks to hours.
- Accessibility: LLMs democratize hacking, enabling less-skilled actors to perform advanced attacks.
- Evasion: AI-generated code can polymorphically change its signature, evading traditional antivirus and endpoint detection.
- Autonomy: Emerging AI agents can operate with minimal human oversight, probing networks, escalating privileges, and exfiltrating data.
This shift doesn’t eliminate the need for skill—but it changes its nature. The most dangerous hackers today are those who can effectively direct AI systems, combining strategic thinking with prompt engineering and adversarial machine learning.
The Road Ahead
AI is not replacing hackers; it is augmenting them. Just as the internet scaled hacking in the 1990s, AI is scaling it again—this time with intelligence baked in. Defenders must respond not only with better tools, but with new paradigms: continuous validation, AI-augmented threat hunting, and international norms around autonomous cyber operations.
The spirit of hacking—curiosity, rebellion, mastery—endures. But the interface has changed. From phone phreaks to AI agents, the evolution continues. And in this new era, understanding AI is no longer optional for cybersecurity professionals; it is essential.
The author is a Lebanese professor of cybersecurity with experience in offensive security, threat intelligence, and AI policy. Views expressed are personal.
@TheGhostITM
From Phone Phreaks to AI Agents: How Hacking Evolved—and Why Hackers Are Turning to AI
By Yara Tabet (The Ghost In The Machine)
Hacking has never been static. It evolves with technology, culture, and power. Today, we are witnessing perhaps the fastest transformation yet: hackers are increasingly turning to artificial intelligence (AI) not just as a tool, but as a collaborator. To understand why, we must trace how hacking has changed from the 1980s to the 2020s—and what AI means for the future of cyber conflict, crime, and activism.
The 1980s–1990s: Curiosity, Counterculture, and Code
In the 1980s, hacking was largely driven by curiosity and countercultural ethos. Early hackers—often teenagers with dial-up modems—explored telephone networks (“phone phreaking”) and nascent computer systems like ARPANET. They wrote their own scripts in BASIC or assembly, reverse-engineered software, and shared knowledge through underground zines and bulletin board systems (BBS). Talent was measured by deep technical understanding: knowing how memory worked, how to exploit buffer overflows, or how to write a packet sniffer from scratch.
This era also produced figures who would later redefine information warfare. Julian Assange, then known by the handle “Mendax,” was a founding member of the International Subversives, a small Australian hacking group that penetrated telecommunications systems and, allegedly, military networks like MILNET. Assange’s trajectory—from teenage hacker to cypherpunk to founder of WikiLeaks—epitomizes how hacking culture seeded modern transparency activism.
The 1990s saw hacking mature alongside the public internet. Groups like Legion of Doom and Cult of the Dead Cow became legendary. Hacktivism emerged, with collectives using defacements and early distributed denial-of-service (DDoS) attacks to make political statements. Tools were still largely handcrafted: Perl scripts for scanning, custom C code for exploits, and manually coordinated botnets for DDoS. Skill barriers were high; you needed to understand networking, operating systems, and programming intimately.
The 2000s–2010s: Criminalization, Commodification, and Scale
The 2000s brought monetization. Cybercrime became industrialized with ransomware, banking trojans, and exploit kits sold on underground forums. Script kiddies could launch attacks using point-and-click tools, lowering the barrier to entry. Meanwhile, nation-states entered the arena: Stuxnet (2010) demonstrated how hacking could achieve geopolitical objectives.
This period also saw the rise of sophisticated botnet architectures. Early botnets relied on Internet Relay Chat (IRC) servers as command-and-control (C2) channels: compromised machines—“zombies”—would connect to an IRC channel and await commands from the botmaster. The 1999 Trin00 botnet, used in the first major DDoS attacks against Yahoo and other sites, exemplified this model. Later, web-based C2 and peer-to-peer (P2P) botnets like Storm Worm made takedowns harder by decentralizing control.
Hacktivism scaled with tools like LOIC (Low Orbit Ion Cannon), but also with more advanced techniques. LulzSec, a splinter group from Anonymous active in 2011, combined traditional DDoS with Remote File Include (RFI) attacks to hijack web servers and turn them into DDoS bots. Their operations against the CIA, Sony, and PBS demonstrated how hacktivists could blend social engineering, SQL injection, and botnet-like tactics without relying on traditional zombie networks. Anonymous, meanwhile, leveraged volunteer-driven “ops” where participants manually launched DDoS attacks in coordinated waves.
The 2020s: AI Enters the Chat
Today, AI is reshaping every layer of hacking. Generative AI models—powered by specialized AI chips in massive data centers—can write code, analyze vulnerabilities, craft phishing lures, and even adapt malware in real time. Unlike earlier tools, AI doesn’t just execute commands; it reasons, learns, and iterates.
Repost from Cyber Dispatch™️
Home Wi‑Fi Routers Now Track Motion
By The Ghost In The Machine
Comcast’s new WiFi Motion feature is drawing attention for what it reveals about the modern home: even without cameras, a network can still detect whether people are present, moving, or asleep. By analyzing subtle changes in Wi‑Fi signals, the system can infer occupancy patterns and activity inside a household. Comcast says the feature does not record images or directly identify individuals, but the privacy implications are hard to ignore.
The technology may be marketed as convenient, but it also exposes a deeper concern about surveillance built into ordinary consumer devices. A system that can tell when someone is home can also create a detailed picture of daily routines. That information is sensitive on its own, and it becomes even more concerning if the modem or connected account is compromised.
Security researchers have long shown that wireless signals can reveal more than many users expect. The same data used to detect presence can, in the wrong hands, become a tool for monitoring household behavior. If a criminal were able to access the system, occupancy details could potentially help identify when a home is empty or when residents are least active. That makes protection of the device and account essential.
The issue is not limited to Comcast. It reflects a wider trend in smart-home technology, where convenience often advances faster than public understanding of the risks. Consumers are increasingly asked to trust that opaque systems will collect only what is necessary and store it responsibly. But when those systems can infer intimate details about everyday life, trust alone is not enough.
Any company offering this kind of feature should provide clear disclosure, strong default security, and an easy opt-out. Homeowners deserve to know not just what data is captured, but what can be inferred from it. In the age of connected living, privacy is no longer only about cameras and microphones. Sometimes, the most revealing device in the home is the router.
#TGITM
Repost from Cyber Dispatch™️
Massive Cyberattack Targets French Ministry of Education
The French Ministry of Education has been the target of a cyberattack, and investigations are ongoing to determine the extent of the incident.
#TGITM @TheGhostITM
Establishment of Unit 8300: A New Election Promise by Bennett
Just as Unit 8200 exists for intelligence matters, we will create Unit 8300 for the battle for public opinion and influence.
#TGITM
Repost from Cyber Dispatch™️
Hackers are reportedly targeting Israeli journalists through WhatsApp and Telegram, using tailored messages to steal credentials, gain access to sensitive material, and compromise mobile devices.
#TGITM @TheGhostITM
Repost from Cyber Dispatch™️
Sunday of a new wave of phishing attacks targeting ‘Israeli’ journalists and media professionals.
#TGITM @TheGhostITM
Repost from Cyber Dispatch™️
Hackers are reportedly targeting Israeli journalists and other prominent figures in credential-theft campaigns designed to access sensitive material and compromise mobile devices. The incidents underscore the growing use of phishing, spyware, and account takeover against high-profile Israeli individuals.
#TGITM @TheGhostITM
Repost from Cyber Dispatch™️
Apple sends new ‘Threat Notification’ alerts over mercenary spyware attacks.
"Apple devices now give you alerts if you're cool and badass."
Repost from Cyber Dispatch™️
Colombia's Ministry of Justice hit by ransomware attack.
#TGITM @TheGhostITM
Repost from Cyber Dispatch™️
HackerOne will require a verified government ID to submit to any bug bounty program on its platform. Every account, new and existing, managed or unmanaged.
Its docs, updated today, cite "regulatory requirements." Verification runs through Veriff and must be renewed yearly; sessions over a VPN or on a jailbroken device are rejected, and under-18s can't verify at all.
Their vulnerability disclosure program stays open with no ID.
Repost from Cyber Dispatch™️
FARA filings show that the campaign was funneled through public relations intermediaries like Havas Media, originally scaling up from smaller digital budgets to target younger demographics across social platforms and conservative media ecosystems.
Repost from Cyber Dispatch™️
The sprawling initiative deploys networks of purpose built websites and digital material designed to feed search indexing tools and automated data scrapers, a tactic aimed at forcing artificial intelligence models like ChatGPT, Claude, and Gemini to generate favorable framing regarding the US–Israeli relationship and Tel Aviv's military actions.
Repost from Cyber Dispatch™️
A detailed investigation published by Drop Site News reveals that Brad Parscale, a longtime digital adviser and former presidential campaign manager for Donald Trump, alongside his corporate entity Clock Tower X, signed a lucrative $46.5 million contract with the Israeli government.
Repost from Cyber Dispatch™️
Former Trump campaign manager secured $46.5 million Israeli contract to weaponize AI chatbots to reshape Gaza narrative.
Repost from Cyber Dispatch™️
Palestine, the occupied territories: Malicious emails with the subject "Invoice."
The widespread distribution of malicious emails. The links contained in these messages allow attackers to access users' computers.
This warning highlights the ongoing vulnerability of users and the cyber space of the Israeli regime to phishing attacks and intrusions.
#TGITM @TheGhostITM
