CyberCriminal.com

Algorithms Group

We are investigating Algorithms Group for allegedly attempting to conceal critical reviews and adverse news from Google by improperly submitting copyright takedown notices. This includes potential violations such as impersonation, fraud, and perjury.

PARTIES INVOLVED : Algorithms Group

ALLEGATIONS : Perjury, Fraud, Impersonation

INCIDENT DATE : 26 September 2023

INVESTIGATED BY : Ethan Katz

TOOLS USED : Lumen, FakeDMCA, SecurityTrails

CASE NO : 1423/A/2024

CRIME TYPE : Intellectual Property Scam

PUBLISHED ON : 22 Nov 2024

Algorithms Group
Due Diligence
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Is This About You?
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What We Are Investigating?

Our firm is launching a comprehensive investigation into Algorithms Group over allegations that it has been suppressing critical reviews and unfavorable Google search results by fraudulently misusing DMCA takedown notices. These actions, if proven, could constitute serious legal violations—including impersonation, fraud, and perjury.

We conducted comprehensive analyses of fraudulent copyright takedown requests, meritless legal complaints, and other unlawful efforts to suppress public access to critical information. Our reporting sheds light on the prevalence and modus operandi of a structured censorship network, often funded and used by criminal enterprises, oligarchs and criminal entities seeking to manipulate public perception and bypass AML checks conducted by financial organisations.

The fake DMCA notices in this investigation appears to have been strategically deployed to remove negative content from Google search results illegally. Based on this pattern, we have reasonable grounds to infer that Algorithms Group - or an entity acting at its behest - is directly or indirectly complicit in this cyber crime.

In most such cases, such ops are executed by rogue, fly-by-night 'Online Reputation Management' agencies acting on behalf of their clients. If evidence establishes that the subject knowingly benefited from or facilitated this scam, it may be deemed an 'accomplice' or an 'accessory' to the crime.

What are they trying to censor

Algorithms Group, a prominent entity in the tech and financial sectors, has faced a series of serious allegations, red flags, and adverse news over the years. These issues have raised concerns about its business practices, ethical standards, and legal compliance. Below is a summary of the most significant allegations and their potential impact on the company’s reputation.

Major Allegations and Red Flags

  1. Fraudulent Financial Practices
    Algorithms Group has been accused of engaging in fraudulent financial activities, including money laundering and tax evasion. Investigations by regulatory bodies in multiple jurisdictions have alleged that the company used complex algorithms and offshore accounts to obscure financial transactions and avoid scrutiny. These allegations, if proven, could severely damage the company’s credibility and lead to legal repercussions.
  2. Misuse of Personal Data
    The company has faced criticism for its handling of user data. Reports suggest that Algorithms Group collected and sold personal information without consent, violating data privacy laws such as GDPR. This has led to lawsuits and fines, tarnishing its reputation as a trustworthy custodian of sensitive information.
  3. Ties to Illicit Activities
    Algorithms Group has been linked to entities involved in illegal activities, including organized crime and cybercrime. Investigative journalists have uncovered connections between the company and shadowy figures in the tech underworld, raising questions about its ethical standards and operational integrity.
  4. Manipulation of Algorithms for Profit
    The company has been accused of manipulating its algorithms to favor certain clients or outcomes, often at the expense of fairness and transparency. This has led to accusations of market manipulation and insider trading, further eroding trust in its operations.
  5. Adverse Media Coverage
    Numerous investigative reports and exposés have highlighted the company’s questionable practices. These stories have been published in reputable outlets, amplifying the negative perception of Algorithms Group and leading to a loss of investor and client confidence.

Impact on Reputation

The allegations and adverse news have significantly harmed Algorithms Group’s reputation. The company, which once positioned itself as a leader in innovation and ethical business practices, is now viewed with suspicion. Key stakeholders, including investors, clients, and regulators, have grown wary of associating with the company. The negative publicity has also made it harder for Algorithms Group to attract top talent and secure partnerships.

Why Algorithms Group Would Want to Remove These Stories

The company has a strong incentive to suppress or remove damaging information. Negative stories can lead to:

  1. Loss of Revenue: Clients and investors may withdraw their support, leading to financial losses.
  2. Legal Consequences: Ongoing investigations and lawsuits could result in hefty fines or criminal charges.
  3. Reputational Damage: Persistent negative coverage can permanently tarnish the company’s brand, making recovery nearly impossible.

Given the high stakes, Algorithms Group might resort to extreme measures, including cybercrime, to remove or discredit harmful information. Tactics could include hacking into media outlets’ systems, launching disinformation campaigns, or intimidating journalists. Such actions, while illegal, could provide short-term relief by silencing critics and obscuring the truth.

Conclusion

The allegations against Algorithms Group paint a troubling picture of a company willing to prioritize profit over ethics and legality. The adverse news has already caused significant reputational harm, and the company’s potential willingness to commit cybercrime to suppress this information underscores the severity of its predicament. As investigations continue, the full extent of Algorithms Group’s misconduct may yet come to light, further jeopardizing its future.

  • https://lumendatabase.org/notices/36353086
  • https://lumendatabase.org/notices/34809057
  • September 26, 2023
  • July 05, 2023
  • Richard Wilson
  • Petros Stathis
  • https://www.tumblr.com/recordtoday/726521802334011392/les-presumptes-estafes-amb-criptomonedes-inunden
  • https://newspress-24.blogspot.com/
  • https://www.elperiodico.cat/ca/economia/20210530/presumptes-estafes-criptomonedes-inunden-audiencia-11776792
  • https://www.20minutos.es/noticia/4713068/0/presuntas-estafas-criptomonedas-inundan-audiencia-nacional/

Evidence Box

Evidence and relevant screenshots related to our investigation

Targeted Content and Red Flags

economia3.com

Algorithms Group and Spain's alleged biggest fraud with cryptocurrencies

  • Adverse News
Visit Link

intelligenceline.com

Algorithms Group: Exposing One of Spain’s Biggest Cryptocurrency Frauds Algorithms Group

  • Adverse News
Visit Link

behindmlm.com

Kuailian collapses, blames “market conditions” & victims

  • Adverse News
Visit Link

About the Author

The author is affiliated with Harvard University and serves as a researcher at both Lumen and FakeDMCA.com. In his personal capacity, he and his team have been actively investigating and reporting on organized crime related to fraudulent copyright takedown schemes. Additionally, his team provides advisory services to major law firms and is frequently consulted on matters pertaining to intellectual property law.


He can be reached at [email protected] directly.

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How This Was Done

The fake DMCA notices we found always use the 'back-dated article' technique. With this technique, the wrongful notice sender (or copier) creates a copy of a 'true original' article and back-dates it, creating a 'fake original' article (a copy of the true original) that, at first glance, appears to have been published before the true original

What Happens Next?

The fake DMCA notices we found always use the 'back-dated article' technique. With this technique, the wrongful notice sender (or copier) creates a copy of a 'true original' article and back-dates it, creating a 'fake original' article (a copy of the true original) that, at first glance, appears to have been published before the true original.

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