Dark Reading

Dark Reading is a widely read and trusted cybersecurity news site that connects the cybersecurity community. It provides breaking news, deep-dive analysis, feature articles, special reports, virtual events and webinars on various topics related to enterprise security challenges. The site includes 14 topical sections and two feature sections. Dark Reading aims to challenge its community with strong reporting and professional knowledge from years in the information security industry.

90%

The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermines the credibility of the source. It is calculated as:
Analysis.OverallConflictOfInterestScore * 0.3F + Analysis.OverallBiasScore * 0.3F + Analysis.DeceptivenessScore * 0.3F + Analysis.ReadabilityScore * 0.1F

A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

The Daily's Verdict

This news site is known for its high journalistic standards. It strives to maintain neutrality and transparency in its reporting, and avoids conflicts of interest. It has a reputation for accuracy and rarely gets contradicted on major discrepancies in its reporting.

Bias

92%

Examples:

  • The articles often highlight<dummy00019> Unified Threat Management (UTM) and other security solutions as effective ways to combat cyber threats.
  • There is a tendency to present Microsoft as a company that takes security seriously and has the ability to protect against cyber attacks.

Conflicts of Interest

95%

Examples:

  • Microsoft has three different confidential computing technologies in preview in the Azure cloud: AMD’s SEP-SNV offering, Intel’s TDX, and Nvidia’s GPU. Nvidia’s graphics processors are now a target of hackers with AI’s growing popularity, and the company recently issued patches for high-severity vulnerabilities.
  • The new malware, GoldPickaxe, was developed by a large (but unidentified) Chinese-language group. Its variants work across iOS and Android devices, masquerading as a government service app in order to trick primarily elderly victims into scanning their faces.

Contradictions

87%

Examples:

  • Apple can bolster the abilities of an LLM while not having any visibility into the data being processed.
  • Data isn’t visible to Apple or other companies and is deleted once the query is complete.

Deceptions

85%

Examples:

  • Hackers from Southeast Asia have turned Android’s own best application security mechanism against itself.
  • The article claims that XZ Utils has a backdoor, but there is no evidence provided to support this claim.

Recent Articles

  • Apple's Privacy-First Approach to AI vs. Google's Hybrid Strategy: A New Era in Smartphone Tech

    Apple's Privacy-First Approach to AI vs. Google's Hybrid Strategy: A New Era in Smartphone Tech

    Broke On: Thursday, 04 July 2024 Apple's privacy-focused iOS 18 and macOS Sequoia introduce Apple Intelligence, a new AI feature with on-screen Siri awareness, while Google maintains user control through hybrid AI and cloud security. Apple's partnership with OpenAI raises privacy concerns, but its extensive private infrastructure bolsters security. The rollout of these advanced AI capabilities could boost demand for TSMC chips.
  • New Android Malware Strain Snowblind Exploits Linux Kernel Feature to Steal Banking Info and Disable 2FA

    New Android Malware Strain Snowblind Exploits Linux Kernel Feature to Steal Banking Info and Disable 2FA

    Broke On: Thursday, 27 June 2024 A new Android malware strain named Snowblind, discovered by cybersecurity firm Promon, exploits the Linux kernel feature seccomp to co-opt accessibility features and steal banking login information or interrupt transactions. It can also disable 2FA or biometric verification methods, increasing the risk of fraud or identity theft. The malware abuses seccomp to sandbox repackaged apps and redirect system commands, impacting at least one banking app in Southeast Asia. Google has stated that no Snowblind apps are found on the Google Play Store. Keeping devices updated with security patches and using reputable sources for app downloads is crucial to protect against Snowblind.
  • 90 Malicious Android Apps Disguised as Useful Tools Download Over 5.5 Million Times: What Users Need to Know

    90 Malicious Android Apps Disguised as Useful Tools Download Over 5.5 Million Times: What Users Need to Know

    Broke On: Wednesday, 29 May 2024 Over 90 malicious Android apps disguised as useful tools have been downloaded over 5.5 million times from Google Play, distributing Anatsa banking trojan. These apps request SMS and accessibility permissions after installation, target financial apps primarily in Europe and the US for credential theft.
  • Chinese Hackers Targeting Critical Infrastructure: NSA and FBI Warnings

    Chinese Hackers Targeting Critical Infrastructure: NSA and FBI Warnings

    Broke On: Thursday, 18 April 2024 Chinese hackers, according to the NSA and FBI, have been targeting critical infrastructure systems in the US with the goal of disrupting or damaging them. Gen. Timothy D. Haugh and FBI Director Christopher Wray issued warnings about China's cybersecurity threat at a security conference, highlighting incidents where Chinese hackers targeted critical infrastructure in Guam and on the continental US using advanced techniques to avoid detection by malware. The People's Republic of China (PRC) is accused of targeting sectors such as telecommunications, energy, water, technology and other critical infrastructure services. Private organizations can improve their cyber defense and response mechanisms to better protect against these threats.
  • Backdoor Found in Widely Used Linux Utility xz Utils, Breaking Encrypted SSH Connections

    Backdoor Found in Widely Used Linux Utility xz Utils, Breaking Encrypted SSH Connections

    Broke On: Saturday, 30 March 2024 A backdoor in Linux utility xz Utils has been discovered that breaks encrypted SSH connections. Malicious code was introduced into versions 5.6.0 and 5.6.1 of the compression tool, which is included in most Linux distributions including Red Hat and Debian.
  • GoldPickaxe Trojan: Stealing Biometric Data from iOS Users

    GoldPickaxe Trojan: Stealing Biometric Data from iOS Users

    Broke On: Saturday, 17 February 2024 The GoldPickaxe trojan, discovered by Group-IB in February 2024, targets both Android and iOS devices to steal biometric data such as facial recognition and identity documents. It also intercepts SMS messages to gain unauthorized access to victims' bank accounts.