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A new Facebook phishing campaign looks to trick you with emails sent from Salesforce - Related to top, from, salesforce, tells, they

A new Facebook phishing campaign looks to trick you with emails sent from Salesforce

A new Facebook phishing campaign looks to trick you with emails sent from Salesforce

Check Point warns Salesforce tools are being used in phishing attacks.

The attacks are using Facebook image as a lure.

The goal of the campaign is to steal Facebook login credentials.

Cybercriminals have been observed abusing a legitimate Salesforce service to attack people and businesses with Facebook-related phishing emails.

Researchers at Check Point warned about the ongoing campaign on its blog. Describing how the criminals were using the automated mailing service that belongs to Salesforce as a marketing tool.

The body of the phishing email is nothing extraordinary. It is the usual “your Facebook account is under review” threat, in which victims are warned about their account being suspended. Unless they “verify” their details. The email shares a link to a fake Facebook support page, where sensitive information, such as passwords, get stolen.

The landing page comes with a poor attempt at a Facebook logo (it says ‘Faceloook’, where crooks apparently wanted to make letters ‘lo’ look like the letter ‘b’).

Check Point says more than 12,200 of these emails were sent so far. With “hundreds” targeting different businesses. The majority of the targets are in the EU ( and the US (45%), with the remaining targeting Australia.

“Nonetheless, versions of the notifications have also been found in Chinese and Arabic. Showing that the campaign targeted companies across geographic locales,” Check Point stressed.

Phishing continues to be one of the most popular attack vectors in 2025. It is cheap, scalable, and omnipresent, making it a great tool for cybercriminals. And with generative AI coming into the mix, phishing has turned into the ideal way to trick victims into sharing login credentials, or installing malware.

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Meta faces lawsuit for training AI with pirated books

Meta faces lawsuit for training AI with pirated books

In a recent lawsuit, Meta has been accused of using pirated books to train its AI models, with CEO Mark Zuckerberg’s approval. As per Ars Technica, the lawsuit filed by authors including Ta-Nehisi Coates and Sarah Silverman in a California federal court, cite internal Meta communications indicating that the corporation utilized the Library Genesis (LibGen) dataset—a vast online repository known for hosting pirated books—despite internal concerns about the legality of using such material.

The authors argue that Meta’s actions infringe upon their copyrights and. Could undermine the firm’s position with regulators. They claim that Meta’s AI models, including Llama, were trained using their works without permission, potentially harming their livelihoods. Meta has defended its practices by invoking the “fair use” doctrine, asserting that using publicly available materials to train AI tools is legal in certain cases, such as “using text to statistically model language and generate original expression.”.

Unsealed court documents from February 5th. 2024, in Kadrey v. Meta show Meta (formerly Facebook) illegally torrented of data from "shadow libraries" such as Anna's Archive, Z-Library, and LibGen to train Meta artificial intelligence. Highlights include:

– A senior AI… — vx-underground (@vxunderground) February 8, 2025.

One internal message highlighted in the lawsuit quotes an employee expressing discomfort, stating, “Torrenting from a corporate laptop doesn’t feel right.”.

In response to the lawsuit. District Judge Vince Chhabria dismissed some proposes but allowed the authors to amend their complaint to include new allegations, including those related to the removal of copyright management information. This case is part of a broader wave of legal challenges against tech companies like Meta, OpenAI, and Anthropic, where authors and creators are seeking to protect their intellectual property rights in the face of rapidly advancing AI technologies.

The outcome of this lawsuit could have significant implications for the tech industry. Particularly concerning the use of copyrighted materials in AI training. It raises key questions about the balance between technological innovation and the protection of creators’ rights.

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Top US health provider tells 882,000 patients they were hit in August 2023 breach

Top US health provider tells 882,000 patients they were hit in August 2023 breach

Hospital Sisters Health System files new findings with the Maine Attorney General.

It confirmed more than 800,000 affected in an August 2023 breach.

Compromised people are getting a year's worth of free identity theft monitoring.

Hospital Sisters Health System (HSHS), a nonprofit, Catholic healthcare system, suffered a cyberattack one and a half years ago, which resulted in the theft of sensitive patient data.

The firm has now filed a research with the Maine Office of the Attorney General, in which it detailed the attack, noting it discovered an “unauthorized third party” gaining temporary access to its network, on August 27, 2023.

“Upon learning of the situation, we immediately took steps to contain and remediate the incident and launched an internal investigation,” HSHS revealed in the filing.

The investigation determined that the unnamed attackers dwelled on HSHS’ network between August 16 and August 27, and during that time exfiltrated sensitive information belonging to exactly 882,782 people.

“We have since been reviewing those files and notifying individuals whose information was found in the files on a rolling basis as our review has continued,” the organization stated.

While the type of information stolen varied from person to person. In general it included full names, postal addresses, birth dates, medical record numbers, limited treatment information, health insurance information, Social Security numbers (SSN), and driver’s license numbers.

Furthermore, this is more than enough to engage in highly personalized phishing, identity theft, or even wire fraud. However, HSHS says that at this time it has “no reason to believe” the data has been misused.

Healthcare information is highly sought on the black market because it contains sensitive personal, financial, and. Medical data that can be exploited for various types of fraud and cybercrimes. Unlike credit card data, which can be quickly canceled, stolen medical records provide long-term value as they include Social Security numbers, insurance details, and medical histories that can be used for identity theft. Fraudulent billing, prescription fraud, and even blackmail. Additionally, the resale price of medical records is significantly higher than financial data due to their completeness and difficulty in detection.

That being expressed, even though there is no evidence of misuse, “out of an abundance of caution”, HSHS offered affected individuals a year’s worth of credit and. Identity theft monitoring through Equifax.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
4.9%5.9%6.2%6.9%7.3%7.5%7.6%
4.9%5.9%6.2%6.9%7.3%7.5%7.6% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
6.9% 7.2% 7.4% 7.6%
6.9% Q1 7.2% Q2 7.4% Q3 7.6% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Semiconductors35%9.3%
Consumer Electronics29%6.2%
Enterprise Hardware22%5.8%
Networking Equipment9%7.9%
Other Hardware5%5.3%
Semiconductors35.0%Consumer Electronics29.0%Enterprise Hardware22.0%Networking Equipment9.0%Other Hardware5.0%

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
Apple18.7%
Samsung16.4%
Intel12.9%
NVIDIA9.8%
AMD7.3%

Future Outlook and Predictions

The Facebook Phishing Campaign 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 hardware tech 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 hardware tech 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 hardware tech evolution:

Supply chain disruptions
Material availability constraints
Manufacturing 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:

platform intermediate

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

API beginner

interface 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.

RAM intermediate

platform