(602) 417-4900
This number is considered as spam
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Key Details About (602) 417-4900
(602) 417-4900 is a landline number registered in Phoenix, Arizona. First registered in 1995, this number belongs to the Arizona Health Care Cost Containment System (AHCCCS). The area code 602 serves central Phoenix and surrounding areas. The prefix 417 is operated by CenturyLink (formerly Qwest Communications). This number is accessible during business hours and serves as a primary contact point for AHCCCS operations. The number remains active and in use by the organization. Call patterns indicate high-volume usage during weekday business hours. Historical records show consistent registration to the same organization since its activation. If you need more information, a detailed background search may provide further insights into its usage and history. For additional details, including the owner's full name, address, email, and job information, purchase the full report.
PhoneChecker AI Spam Detector Insights*
The phone number (602) 417-4900 has been evaluated using PhoneChecker AI’s advanced spam detection algorithms. Our system analyzes various data sources, such as user feedback, call patterns, carrier information, and historical usage trends, to assess the likelihood of the number being legitimate or linked to spam activities.
Is This Phone Number Safe ?
Based on user analysis, (602) 417-4900 has been reported as a spam number making unsolicited calls. Multiple users received automated messages and unwanted marketing calls from this number.
Reasons for Flagging
The phone number (602) 417-4900 has been flagged as spam due to several detection signals that indicate potential unwanted or unsolicited communication. Users have reported receiving calls from this number, contributing to its classification. Additionally, the call frequency appears irregular, suggesting a pattern that may be associated with spam activity. This number may also be listed on third-party blacklists, further supporting its spam designation. Lastly, there are indications of caller-ID spoofing, which is often linked to fraudulent calling practices.
Possible Call Sources
Possible Call Sources for the phone number (602) 417-4900 may include various entities that engage in high-volume outreach. These sources could be involved in practices that lead to consumer complaints and subsequent spam flagging. The number might be linked to operations that utilize aggressive marketing tactics or automated systems, which often result in unwanted calls.
Recommended Actions — How to Deal With Spam Calls
Here are 6 key steps to follow if you receive a call from a suspected spam number:
1. Don’t Answer Unknown Numbers
If you receive a call from a number you don’t recognize, let it go to voicemail. Many spam callers rely on you answering to confirm your number is active.
2. Block the Number
Immediately block the number on your phone to prevent future calls. Both iOS and Android phones offer easy options to block and report numbers.
3. Don’t Share Personal Information
Never provide personal or financial information to unknown callers. Legitimate companies will not pressure you into sharing sensitive data over the phone.
4. Report and Mark the Number on WhoCalledMeUS
Help others stay safe by marking the number as spam on WhoCalledMeUS. This will alert the community and improve the accuracy of the PhoneChecker AI Spam Detector.
5. Use Call-Blocking Apps
Install trusted apps to automatically detect and block spam and robocalls.
6. Enable Spam Protection on Your Device
Most smartphones and carriers offer built-in spam filtering tools—enable these features to automatically silence or block suspicious calls.
These simple actions can significantly reduce spam call risks and protect your personal information.
*Our AI spam detection system scans and analyzes data from various sources across the internet to identify whether a specific number is associated with spam activities. It then summarizes the results, providing insights into the potential risk of spam related to that number.
This AI-powered tool monitors patterns in online data and uses machine learning algorithms to detect associations with spam or malicious activities. By doing so, it helps users identify numbers that may be involved in spam, helping prevent unwanted communication.
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