Comparison Overview

dailypick3wins

VS

Fantini Research

dailypick3wins

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Last Update: 2025-11-27

70 Predictions of the Daily Win Strategy Here are 70 examples of how my system can help you win the lottery. I challenge you to find another web site that will give you more examples than this and one that will pick winning lottery numbers for you. I am so sure of my system and that you will benefit from it, I'm willing to share these real-world examples, which are from four different three-digit state lotteries: Chicago, Florida, Georgia and Delaware. The examples I provide show the name of the lotto, the date and the winning number from that date as well as the number I predicted and the date my predicted number fell. You can verify all of this information by checking the Web and seeing which numbers fell when and in which state lotto. Eight of these examples are highlighted. The eight highlighted predictions are explained in further detail once you purchase my strategy for calculating the most-likely numbers to come out in the three-digit lottery. These examples demonstrate how my system will help you pick lottery numbers and help you win the lotto. Once you have learned the system you need to stick with the plan and practice. A good way to practice is to take a number from the previous seven days from your state lottery. For example, if you pick the 10th of October, you will need to look at the number that fell on the 3rd and follow the instructions provided in my system. You will then come up with a set of numbers most-likely to turn out within the next five to seven days. You can then track those numbers and see how many times you will win in one month.

NAICS: 713
NAICS Definition:
Employees: 2
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

Fantini Research

32 W. Loockerman St, Dover, DE, 19903, US
Last Update: 2025-11-27

FANTINI RESEARCH is a publishing, research and consulting firm serving the gaming industry, primarily institutional investors, C-level executives and professionals such as attorneys and regulators. Its numerous publications and reports revolve around the flagship Fantini’s Gaming Report, the industry’s leading daily source of news, analysis and information. Fantini also publishes the monthly National Revenue Report, Fantini’s Public Policy Review, and co-publishes the industry-leading EILERS-FANTINI Quarterly Slot Survey and Spectrumetrix- Fantini reports, the gaming industry’s data source.

NAICS: 7132
NAICS Definition: Gambling Industries
Employees: 11
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/dailypick3wins.jpeg
dailypick3wins
ISO 27001
ISO 27001 certification not verified
Not verified
SOC2 Type 1
SOC2 Type 1 certification not verified
Not verified
SOC2 Type 2
SOC2 Type 2 certification not verified
Not verified
GDPR
GDPR certification not verified
Not verified
PCI DSS
PCI DSS certification not verified
Not verified
HIPAA
HIPAA certification not verified
Not verified
https://images.rankiteo.com/companyimages/fantini-research.jpeg
Fantini Research
ISO 27001
ISO 27001 certification not verified
Not verified
SOC2 Type 1
SOC2 Type 1 certification not verified
Not verified
SOC2 Type 2
SOC2 Type 2 certification not verified
Not verified
GDPR
GDPR certification not verified
Not verified
PCI DSS
PCI DSS certification not verified
Not verified
HIPAA
HIPAA certification not verified
Not verified
Compliance Summary
dailypick3wins
100%
Compliance Rate
0/4 Standards Verified
Fantini Research
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs Gambling Facilities and Casinos Industry Average (This Year)

No incidents recorded for dailypick3wins in 2025.

Incidents vs Gambling Facilities and Casinos Industry Average (This Year)

No incidents recorded for Fantini Research in 2025.

Incident History — dailypick3wins (X = Date, Y = Severity)

dailypick3wins cyber incidents detection timeline including parent company and subsidiaries

Incident History — Fantini Research (X = Date, Y = Severity)

Fantini Research cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/dailypick3wins.jpeg
dailypick3wins
Incidents

No Incident

https://images.rankiteo.com/companyimages/fantini-research.jpeg
Fantini Research
Incidents

No Incident

FAQ

dailypick3wins company demonstrates a stronger AI Cybersecurity Score compared to Fantini Research company, reflecting its advanced cybersecurity posture governance and monitoring frameworks.

Historically, Fantini Research company has disclosed a higher number of cyber incidents compared to dailypick3wins company.

In the current year, Fantini Research company and dailypick3wins company have not reported any cyber incidents.

Neither Fantini Research company nor dailypick3wins company has reported experiencing a ransomware attack publicly.

Neither Fantini Research company nor dailypick3wins company has reported experiencing a data breach publicly.

Neither Fantini Research company nor dailypick3wins company has reported experiencing targeted cyberattacks publicly.

Neither dailypick3wins company nor Fantini Research company has reported experiencing or disclosing vulnerabilities publicly.

Neither dailypick3wins nor Fantini Research holds any compliance certifications.

Neither company holds any compliance certifications.

Neither dailypick3wins company nor Fantini Research company has publicly disclosed detailed information about the number of their subsidiaries.

Fantini Research company employs more people globally than dailypick3wins company, reflecting its scale as a Gambling Facilities and Casinos.

Neither dailypick3wins nor Fantini Research holds SOC 2 Type 1 certification.

Neither dailypick3wins nor Fantini Research holds SOC 2 Type 2 certification.

Neither dailypick3wins nor Fantini Research holds ISO 27001 certification.

Neither dailypick3wins nor Fantini Research holds PCI DSS certification.

Neither dailypick3wins nor Fantini Research holds HIPAA certification.

Neither dailypick3wins nor Fantini Research holds GDPR certification.

Latest Global CVEs (Not Company-Specific)

Description

Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.

Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H