(517) 318-1159
This number is considered as spam
Is this number a spammer?
Who owns
(517) 318-1159?
State:
MI
City:
Lansing
Carrier:
Brooks Fiber Communications Of Michigan - Mi
Key Details About (517) 318-1159
This phone number (517) 318-1159 was registered in Lansing, Michigan in 2008. It's a landline number operated by AT&T Michigan. The area code 517 serves the central portion of Michigan's Lower Peninsula, including the state capital region. This number belongs to the Lansing rate center and follows the North American Numbering Plan format. The prefix 318 was assigned to local residential and business customers in the greater Lansing area. The number remains active and in service. This line can receive both voice calls and fax transmissions. 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 (517) 318-1159 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 whether a number is likely legitimate or linked to spam activities. Stay informed and safe!
Is This Phone Number Safe ?
Based on user analysis, the phone number (517) 318-1159 has been identified as spam. Multiple reports indicate frequent unsolicited calls, making it a suspicious contact for many users.
Reasons for Flagging
The phone number (517) 318-1159 has been flagged as spam due to several detection signals that indicate potentially unwanted behavior. Users have reported receiving unsolicited calls from this number, contributing to its classification. Additionally, the call frequency appears abnormal, suggesting a pattern that is often associated with spam activity. The number may also be listed on third-party blacklists, which further raises concerns. Lastly, there are indications of caller-ID spoofing, a tactic frequently employed by spammers to disguise their true identity.
Possible Call Sources
Possible Call Sources for the phone number (517) 318-1159 may include a variety of entities that engage in practices commonly associated with unsolicited communications. These sources could be involved in mass outreach efforts, often targeting individuals without prior consent.
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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