(952) 977-2019
This number is considered as spam
Is this number a spammer?
Key Details About (952) 977-2019
This phone number (952) 977-2019 was registered in Minnesota, specifically in the Minneapolis-St. Paul metropolitan area. The area code 952 serves the southwestern suburbs of the Twin Cities, including cities like Bloomington, Eden Prairie, and Minnetonka. The number was first activated in 2001 through T-Mobile as the carrier. It's a landline number that can be used for both personal and business purposes. The prefix 977 indicates it's located in Hennepin County. Current status shows this number as active and in use. Call patterns suggest regular activity during business hours. 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 (952) 977-2019 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, phone number (952) 977-2019 has been reported multiple times for making unsolicited calls about extended car warranties and fake insurance offers.
Reasons for Flagging
The phone number (952) 977-2019 has been flagged as spam due to several detection signals commonly associated with unwanted calls. Users have reported receiving unsolicited communications from this number, which raises concerns about its legitimacy. Additionally, the call patterns exhibited by this number are atypical, suggesting potential spam activity. It is also listed on third-party blacklists, further indicating a history of negative user experiences. Lastly, there may be indications of caller-ID spoofing, which is often associated with fraudulent calling practices.
Possible Call Sources
Possible Call Sources for the phone number (952) 977-2019 may include a variety of entities that engage in high-volume calling practices. These sources could be involved in aggressive marketing strategies or other questionable activities that lead to spam flagging. The number might be linked to operations that utilize automated systems to reach a large audience, often resulting in consumer complaints.
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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