Encryption

Conti and LockBit dominate ransomware landscape with record attacks

Ransomware groups have evolved into billion-dollar operations targeting critical infrastructure across multiple countries, employing increasingly sophisticated extortion schemes. Between 2020 and 2022, more than 865 documented attacks were recorded across Australia, Canada, New Zealand, and the UK.

Criminals have escalated from simple encryption to double and triple extortion, threatening to leak stolen data as added leverage. Attack vectors include phishing, botnets, and unpatched flaws. Once inside, attackers use stealthy tools to persist and spread.

BlackSuit, formerly known as Conti, led with 141 attacks, followed by LockBit’s 129, according to data from the Australian Institute of Criminology. Ransomware-as-a-Service groups hit higher volumes by splitting developers from affiliates handling breaches and negotiations.

Industrial targets bore the brunt, with 239 attacks on manufacturing and building products. The consumer goods, real estate, financial services, and technology sectors also featured prominently. Analysts note that industrial firms are often pressured into quick ransom payments to restore production.

Experts warn that today’s ransomware combines military-grade encryption with advanced reconnaissance and backup targeting, raising the stakes for defenders. The scale of activity underscores how resilient these groups remain, adapting rapidly to law enforcement crackdowns and shifting market opportunities.

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WhatsApp fixes flaw exploited in Apple device hacks

WhatsApp has fixed a vulnerability that exposed Apple device users to highly targeted cyberattacks. The flaw was chained with an iOS and iPadOS bug, allowing hackers to access sensitive data.

According to researchers at Amnesty’s Security Lab, the malicious campaign lasted around 90 days and impacted fewer than 200 people. WhatsApp notified victims directly, which urged all users to update their apps immediately.

Apple has also acknowledged the issue and released security patches to close the cybersecurity loophole. Experts warn that other apps beyond WhatsApp may have been exploited in the same campaign.

The identity of those behind the spyware attacks remains unclear. Both companies have stressed that prompt updates are the best protection for users against similar threats.

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Hackers exploited flaws in WhatsApp and Apple devices, company says

WhatsApp has disclosed a hacking attempt that combined flaws in its app with a vulnerability in Apple’s operating system. The company has since fixed the issues.

The exploit, tracked as CVE-2025-55177 in WhatsApp and CVE-2025-43300 in iOS, allowed attackers to hijack devices via malicious links. Fewer than 200 users worldwide are believed to have been affected.

Amnesty International reported that some victims appeared to be members of civic organisations. Its Security Lab is collecting forensic data and warned that iPhone and Android users were impacted.

WhatsApp credited its security team for identifying the loopholes, describing the operation as highly advanced but narrowly targeted. The company also suggested that other apps could have been hit in the same campaign.

The disclosure highlights ongoing risks to secure messaging platforms, even those with end-to-end encryption. Experts stress that keeping apps and operating systems up to date remains essential to reducing exposure to sophisticated exploits.

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Calls grow for better security on smart intimate devices

Cyber experts are warning that Bluetooth-enabled adult toys create openings for stalking, blackmail and assault, due to weak security in companion apps and device firmware. UK-commissioned research outlined risks such as interception, account takeover and unsafe heat profiles.

Officials urged better protection across consumer IoT, advising updates, strong authentication and clear support lifecycles. Guidance applies to connected toys alongside other smart devices in the home.

Security researchers and regulators have long flagged poor encryption and lax authentication in intimate tech. At the same time, recent disclosures showed major brands patching flaws that exposed emails and allowed remote account control.

Industry figures argue for stricter standards and transparency on data handling, noting that stigma can depress reporting and aid repeat exploitation. Specialist groups recommend buying only from vendors that document encryption and update policies.

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Google dismisses false breach rumours as Gmail security concerns grow

Reports that Gmail suffered a massive breach have been dismissed by Google, which said rumours of warnings to 2.5 billion users were false.

In a Monday blog post, Google rejected claims that it had issued global notifications about a serious Gmail security issue. It stressed that its protections remain effective against phishing and malware.

Confusion stems from a June incident involving a Salesforce server, during which attackers briefly accessed public business information, including names and contact details. Google said all affected parties were notified by early August.

The company acknowledged that phishing attempts are increasing, but clarified that Gmail’s defences block more than 99.9% of such attempts. A July blog post on phishing risks may have been misinterpreted as evidence of a breach.

Google urged users to remain vigilant, recommending password alternatives such as passkeys and regular account reviews. While the false alarm spurred unnecessary panic, security experts noted that updating credentials remains good practice.

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Alleged Apple ID exposure affects 184 million accounts

A report has highlighted a potential exposure of Apple ID logins after a 47.42 GB database was discovered on an unsecured web server, reportedly affecting up to 184 million accounts.

The database was identified by security researcher Jeremiah Fowler, who indicated it may include unencrypted credentials across Apple services and other platforms.

Security experts recommend users review account security, including updating passwords and enabling two-factor authentication.

The alleged database contains usernames, email addresses, and passwords, which could allow access to iCloud, App Store accounts, and data synced across devices.

Observers note that centralised credential management carries inherent risks, underscoring the importance of careful data handling practices.

Reports suggest that Apple’s email software flaws could theoretically increase risk if combined with exposed credentials.

Apple has acknowledged researchers’ contributions in identifying server issues and has issued security updates, while ongoing vigilance and standard security measures are recommended for users.

The case illustrates the challenges of safeguarding large-scale digital accounts and may prompt continued discussion about regulatory standards and personal data protection.

Users are advised to maintain strong credentials and monitor account activity.

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DOGE transfers social security data to the cloud, sources say

A whistle-blower has reported that the Department of Government Efficiency (DOGE) allegedly transferred a copy of the US Social Security database to an Amazon Web Services cloud environment.

The action placed personal information for more than 300 million individuals in a system outside traditional federal oversight.

Known as NUMIDENT, the database contains information submitted for Social Security applications, including names, dates of birth, addresses, citizenship, and parental details.

DOGE personnel managed the cloud environment and gained administrative access to perform testing and operational tasks.

Federal officials have highlighted that standard security protocols and authorisations, such as those outlined under the Federal Information Security Management Act (FISMA) and the Privacy Act of 1974, are designed to protect sensitive data.

Internal reviews have been prompted by the transfer, raising questions about compliance with established federal security practices.

While DOGE has not fully clarified the purpose of the cloud deployment, observers note that such initiatives may relate to broader federal efforts to improve data accessibility or inter-agency information sharing.

The case is part of ongoing discussions on balancing operational flexibility with information security in government systems.

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Azure Active Directory flaw exposes sensitive credentials

A critical security flaw in Azure Active Directory has exposed application credentials stored in appsettings.json files, allowing attackers unprecedented access to Microsoft 365 tenants.

By exploiting these credentials, threat actors can masquerade as trusted applications and gain unauthorised entry to sensitive organisational data.

The vulnerability leverages the OAuth 2.0 Client Credentials Flow, enabling attackers to generate valid access tokens.

Once authenticated, they can access Microsoft Graph APIs to enumerate users, groups, and directory roles, especially when applications have been granted excessive permissions such as Directory.Read.All or Mail.Read. Such access permits data harvesting across SharePoint, OneDrive, and Exchange Online.

Attackers can also deploy malicious applications under compromised tenants, escalating privileges from limited read access to complete administrative control.

Additional exposed secrets like storage account keys or database connection strings enable lateral movement, modification of critical data, and the creation of persistent backdoors within cloud infrastructure.

Organisations face profound compliance implications under GDPR, HIPAA, or SOX. The vulnerability emphasises the importance of auditing configuration files, storing credentials securely in solutions like Azure Key Vault, and monitoring authentication patterns to prevent long-term, sophisticated attacks.

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How local LLMs are changing AI access

As AI adoption rises, more users explore running large language models (LLMs) locally instead of relying on cloud providers.

Local deployment gives individuals control over data, reduces costs, and avoids limits imposed by AI-as-a-service companies. Users can now experiment with AI on their own hardware thanks to software and hardware capabilities.

Concerns over privacy and data sovereignty are driving interest. Many cloud AI services retain user data for years, even when privacy assurances are offered.

By running models locally, companies and hobbyists can ensure compliance with GDPR and maintain control over sensitive information while leveraging high-performance AI tools.

Hardware considerations like GPU memory and processing power are central to local LLM performance. Quantisation techniques allow models to run efficiently with reduced precision, enabling use on consumer-grade machines or enterprise hardware.

Software frameworks like llama.cpp, Jan, and LM Studio simplify deployment, making local AI accessible to non-engineers and professionals across industries.

Local models are suitable for personalised tasks, learning, coding assistance, and experimentation, although cloud models remain stronger for large-scale enterprise applications.

As tools and model quality improve, running AI on personal devices may become a standard alternative, giving users more control over cost, privacy, and performance.

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