(248) 785-5500
This number is considered as spam
Is this number a spammer?
Who owns
(248) 785-5500?
State:
MI
City:
Detroit
Carrier:
Xo Communications Services, Inc. - Mi
Key Details About (248) 785-5500
The phone number (248) 785-5500 is registered in Rochester Hills, Michigan. This landline number was first activated in September 1998 through AT&T Michigan. The area code 248 serves the northern and western portions of Metro Detroit, including Oakland County and small portions of Genesee, Livingston, Macomb, and Wayne counties. This number is available for both residential and business use. The prefix 785 is commonly associated with the Rochester Hills geographic region. Current or previous subscribers can use this number for local and long-distance calling within the United States. 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 (248) 785-5500 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 legitimacy of the number and identify any potential spam associations.
Is This Phone Number Safe ?
Based on user analysis, the phone number (248) 785-5500 is identified as spam. Multiple users report receiving unwanted calls and messages from this number, indicating its suspicious and unsolicited nature.
Reasons for Flagging
The phone number (248) 785-5500 has been flagged as spam due to several common indicators that suggest potential unwanted or unsolicited communication. These signals typically arise from user feedback and automated detection systems that monitor calling patterns. The presence of this number on third-party blacklists further corroborates concerns regarding its legitimacy. Additionally, unusual call frequency and caller-ID spoofing behaviors have contributed to its classification as spam.
Possible Call Sources
Possible Call Sources for the number (248) 785-5500 may include various entities that engage in high-volume outreach. This number could be linked to telemarketing efforts aimed at promoting products or services, or it might be associated with automated systems designed to deliver pre-recorded messages. Additionally, it may be involved in lead generation activities where consumer data is resold to third parties.
• Automated robocalling services
• Mass-market telemarketing vendors
• Lead-generation agencies reselling data
• Debt-collection firms or their subcontractors
• Phishing or tech-support scam operations
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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