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Malicious Chrome extensions can spoof password managers in new attack - Related to spoof, managers, key, helps, 1,000

Ethereum private key stealer on PyPI downloaded over 1,000 times

Ethereum private key stealer on PyPI downloaded over 1,000 times

A malicious Python Package Index (PyPI) package named "set-utils" has been stealing Ethereum private keys through intercepted wallet creation functions and exfiltrating them via the Polygon blockchain.

The package disguises itself as a utility for Python, mimicking the popular "python-utils," which has over 712 million downloads, and "utils," which counts over [website] million installs.

Researchers from the developer cybersecurity platform Socket discovered the malicious package and reported that set-utils had been downloaded over a thousand times since its submission on PyPI on January 29, 2025.

The open- the attacks primarily target blockchain developers utilizing 'eth-account' for wallet creation and management, Python-based DeFi projects, Web3 apps with Ethereum support, and personal wallets using Python automation.

As the malicious package is targeting cryptocurrency projects, even though there were only a thousand downloads, it could impact a far larger number of people who used the applications to generate wallets.

The malicious set-utils package embeds the attacker's RSA public key to be used for encrypting stolen data and an Ethereum sender account controlled by the attacker.

The package hooks into standard Ethereum wallet creation functions like 'from_key()' and 'from_mnewmonic()' to intercept private keys as they are generated on the compromised machine.

It then encrypts the stolen private key and embeds it in the data field of an Ethereum transaction before it's sent to the attacker's account via the Polygon RPC endpoint "rpc-amoy.polygon.technology/."

Compared to traditional network exfiltration methods, embedding stolen data in Ethereum transactions is far stealthier and more challenging to distinguish from legitimate activity.

Firewalls and antivirus tools typically monitor HTTP requests but not blockchain transactions, so this method is unlikely to raise any flags or get blocked.

Also, Polygon transactions have very low processing fees, no rate limiting applies to small transactions, and offer free public RPC endpoints, so the threat actors do not need to set up their own infrastructure.

Once the exfiltration process is done, the attacker can retrieve the stolen data at any time, as the stolen information is permanently stored on the blockchain.

The set-utils package was removed from PyPI following its discovery. However, customers and software developers who incorporated it into their projects should uninstall it immediately and assume that any Ethereum wallets created are compromised.

If the noted wallets contain funds, it is recommended to move them to another wallet as soon as possible, as they are at risk of getting stolen at any moment.

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Malicious Chrome extensions can spoof password managers in new attack

Malicious Chrome extensions can spoof password managers in new attack

A newly devised "polymorphic" attack allows malicious Chrome extensions to morph into other browser extensions, including password managers, crypto wallets, and banking apps, to steal sensitive information.

The attack was devised by SquareX Labs, which warns of its practicality and feasibility on the latest version of Chrome. The researchers have responsibly disclosed the attack to Google.

The attack begins with the submission of the malicious polymorphic extension on Chrome's Web Store.

SquareX uses an AI marketing tool as an example, which offers the promised functionality, tricking victims into installing and pinning the extension on their browser.

To get a list of other installed extension, the malicious extension abuses the the 'chrome.management' API, which it was given access to during installation.

If the malicious extension doesn't have this permission, SquareX says there's a second, stealthier way to achieve the same, involving resource injection onto web pages the victim visits.

The malicious script attempts to load a specific file or URL unique to targetted extensions, and if it loads, it can be concluded that the extension is installed.

The list of installed extensions is sent back to an attacker-controlled server, and if a targeted one is found, the attackers command the malicious extension to morph into the targeted one.

In SquareX's demonstration, the attackers impersonate the 1Password password manager extension by first disabling the legitimate one using the 'chrome.management' API, or if the permissions aren't available, user interface manipulation tactics to hide it from the user.

Simultaneously, the malicious extension switches its icon to mimic that of 1Password, changes its name accordingly, and displays a fake login popup that matches the appearance of the real one.

To force the user into entering their credentials, when attempting to log in to a site, a fake "Session Expired" prompt is served, making the victim think they were logged out.

This will prompt the user to log back into 1Password through a phishing form that sends inputted credentials back to the attackers.

Fake prompt (left) and phishing popup (right).

Once the sensitive information is sent to the attackers, the malicious extension reverts to its original appearance, and the real extension is re-enabled, so everything appears normal again.

A demonstration of this attack can be seen below, where the malicious extension impersonates 1Password.

SquareX recommends that Google implement specific defenses against this attack, such as blocking abrupt extension icons and HTML changes on installed extensions or at least notifying clients when this happens.

However, at the time of writing, there are no measures to prevent this kind of deceptive impersonation.

SquareX researchers also noted that Google wrongfully classifies the 'chrome.management' API as "medium risk," and it is extensively accessed by popular extensions such as page stylers, ad blockers, and password managers.

BleepingComputer has contacted Google to request a comment on the topic, and we will improvement this post as soon as we hear back.

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Open-source tool 'Rayhunter' helps users detect Stingray attacks

Open-source tool 'Rayhunter' helps users detect Stingray attacks

The Electronic Frontier Foundation (EFF) has released a free, open-source tool named Rayhunter that is designed to detect cell-site simulators (CSS), also known as IMSI catchers or Stingrays.

Stingray devices mimic legitimate cell towers to trick phones into connecting, allowing them to capture sensitive data, accurately geolocate customers, and potentially intercept communications.

With the release of the Rayhunter, EFF seeks to give customers the power to detect these instances, allowing them to protect themselves and also help draw a clearer picture of the exact deployment scale of Stingrays.

Rayhunter is an open-source tool designed to detect Stingrays by capturing control traffic (signaling data) between the mobile hotspot and the cell tower it is connected to, but without monitoring user activity.

"Rayhunter works by intercepting, storing, and analyzing the control traffic (but not user traffic, such as web requests) between the mobile hotspot Rayhunter runs on and the cell tower to which it's connected," reads EFF's announcement.

"Rayhunter analyzes the traffic in real-time and looks for suspicious events, which could include unusual requests like the base station (cell tower) trying to downgrade your connection to 2G which is vulnerable to further attacks, or the base station requesting your IMSI under suspicious circumstances."

Compared to other Stingray detection methods that require rooted Android phones and expensive software-defined radios, Rayhunter runs on a $20 Orbic RC400L mobile hotspot device (portable 4G LTE router).

EFF chose this hardware for its testing of Rayhunter due to its affordability, widespread availability (Amazon, eBay), and portability, but notes that their software may work well on other Linux/Qualcomm devices too.

When Rayhunter detects suspicious network traffic, Orbic's default green/blue screen turns red, informing clients of a potential Stingray attack.

The individuals may then access and download the PCAP logs kept on the device to get more information about the incident or use them to support forensic investigations.

For more instructions on how to install and use Rayhunter, check out EFF's GitHub repository.

The EFF includes a legal disclaimer noting that the software is likely not illegal to use in the United States. However, before attempting to use this project, it is advisable to check with a lawyer to determine if it's legal to use in your country.

BleepingComputer has not tested Rayhunter and cannot guarantee its safety or effectiveness, so use it at your own risk.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
8.7%10.5%11.0%12.2%12.9%13.3%13.4%
8.7%10.5%11.0%12.2%12.9%13.3%13.4% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
12.5% 12.9% 13.2% 13.4%
12.5% Q1 12.9% Q2 13.2% Q3 13.4% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Network Security26%10.8%
Cloud Security23%17.6%
Identity Management19%15.3%
Endpoint Security17%13.9%
Other Security Solutions15%12.4%
Network Security26.0%Cloud Security23.0%Identity Management19.0%Endpoint Security17.0%Other Security Solutions15.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Palo Alto Networks14.2%
Cisco Security12.8%
Crowdstrike9.3%
Fortinet7.6%
Microsoft Security7.1%

Future Outlook and Predictions

The Ethereum Private Stealer landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the cyber security sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing cyber security challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of cyber security evolution:

Evolving threat landscape
Skills shortage
Regulatory compliance complexity

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

ransomware beginner

algorithm Ransomware typically encrypts victim data using strong cryptographic algorithms, making recovery impossible without the decryption key. Advanced variants now also exfiltrate data before encryption, enabling double-extortion tactics.
Example: The REvil ransomware group leveraged a supply chain attack against Kaseya VSA to deploy ransomware to thousands of organizations simultaneously, demanding a $70 million ransom payment.

EDR intermediate

interface Unlike traditional antivirus, EDR solutions monitor and record system activities and events across endpoints, applying behavioral analysis and threat intelligence to detect sophisticated attacks.

phishing beginner

platform Modern phishing attacks are increasingly sophisticated, often leveraging AI to create convincing spear-phishing campaigns that target specific individuals with personalized content that appears legitimate.
Phishing attack flowAnatomy of a typical phishing attack
Example: Business Email Compromise (BEC) attacks are sophisticated phishing campaigns where attackers impersonate executives to trick employees into transferring funds or sensitive information.

API beginner

encryption APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

platform intermediate

API Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

SOC intermediate

cloud computing

zero-day intermediate

middleware These vulnerabilities are particularly dangerous because defenders have no time to develop and deploy patches before exploitation occurs. They are highly valued in both offensive security markets and criminal underground.
Zero-day vulnerability timelineTimeline showing vulnerability discovery to patch development
Example: The SUNBURST attack exploited a zero-day vulnerability in SolarWinds Orion software, remaining undetected for months while compromising numerous government agencies and private organizations.

interface intermediate

scalability Well-designed interfaces abstract underlying complexity while providing clearly defined methods for interaction between different system components.

firewall intermediate

DevOps