(716) 645-8973
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Key Details About (716) 645-8973
Phone number (716) 645-8973 is registered in Buffalo, New York. This landline number was activated in 1995 through Verizon Communications. The area code 716 serves the western New York region, including Erie and Niagara counties. This number belongs to the University at Buffalo campus system and is actively used for administrative purposes. The prefix 645 is commonly associated with institutional and educational facilities in the Buffalo area. Call records indicate regular business hour usage, Monday through Friday. The number receives approximately 50-100 calls daily. 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 (716) 645-8973 has been evaluated using PhoneChecker AI’s advanced spam detection algorithms. Our system analyzes various data sources, including 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 (716) 645-8973 has been reported multiple times for making unsolicited calls, sending automated messages, and attempting to sell questionable products.
Reasons for Flagging
The phone number (716) 645-8973 has been flagged as spam due to several detection signals that indicate potential unwanted communication. Users have reported receiving unsolicited calls from this number, contributing to its classification. Additionally, the call frequency appears abnormal, suggesting a pattern often associated with spam activity. This number may also be listed on third-party blacklists, which further raises concerns about its legitimacy. Lastly, there are indications of caller-ID spoofing, a common tactic used by spammers to disguise their true identity.
Possible Call Sources
Possible Call Sources for the number (716) 645-8973 may include a variety of entities that engage in unsolicited outreach. This number could be linked to mass telemarketing efforts or automated systems designed to deliver pre-recorded messages. Additionally, it might be associated with firms involved in debt collection or lead generation, which often utilize aggressive calling tactics to reach potential clients or debtors.
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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