The number of reported spam calls promising an apparent lottery win has continued to rise over the past month. It becomes particularly unpleasant for those affected if the person on the phone can even provide personal data, such as the address ( 089201959996 ). Annoyed users report massive telephone terror ( 061099690321 ) with numerous calls per day. Advertising calls from supposedly cheaper electricity providers also continued to be popular ( 022166951484 ).

In February, victims were again increasingly contacted via landline connections (75.4 percent). Calls to the mobile network, on the other hand, fell slightly (24.6 percent). Clever Dialer , the spam protection and caller ID app, has once again identified and published the 10 most annoying phone numbers. What's new this time is the region from which the annoying phone calls come.

MIMIKAMA
The most common spam phone numbers at a glance (February), in descending order of frequency.
Source: Clever Dialer

The spam phone numbers in February and the comments from those affected

  • 061099690321 landline (spam):
    “They’re just annoying! I blocked the number a long time ago and they still try 6 times every day. Actually, they should notice at some point.”
  • 01637875622 Mobile (competition):
    “Alleged lottery company. I would have played three times for free, but I don't even play the lottery.”
  • 022166951483 Landline (cost trap):
    “The gentleman wanted data about my energy bill and claimed to be from an energy supplier that I don't know (I've forgotten the name). Apparently I have a contract with them.”
  • 04029996605 landline (spam):
    “Constant calls. As soon as you answer it, it hangs up again. At least 3 to 4 times a day! It’s just annoying.”
  • 015212000519 Mobile (competition):
    “As many have already described, they ask for the name and whether the competition should continue. I hung up after I didn’t understand.”
  • 01632399608 Mobile (competition):
    “I took part in a competition and now the data should be compared! I said thank you and hung up.”
  • 032211076762 Landline (competition):
    “Something about the lottery… I only answered their questions with counter questions and the conversation ended very quickly.”
  • 022166951484 Landline (cost trap):
    “Telephone terrorism and advertising for an electricity company.”
  • 089201959996 Landline (competition):
    “For some reason he had my data such as address and date of birth. I had to confirm my year of birth and I then asked him to send me the whole thing in writing. It was hung up immediately.”
  • 015210923002 Mobile (cost trap):
    “LOTTO FRAUD!”

Note: The user comments have been edited and the content has not been changed.

Additional explanations:

The telephone spam check scale indicates how often a telephone number was reported by those affected (marked in red, descending according to frequency).

Calls: Reported phone number
Cost trap / competition / Other: State the reason for the call.
Calls that cannot be clearly assigned to a category are grouped together under the label “Other”. Blockings: Frequency of blocks made by those affected compared to the total number.
Comment: selected, anonymous feedback on the spam call in question

About Clever Dialer:
Clever Dialer ( www.cleverdialer.app ) wants to give users back control over their calls on their smartphone. The app is used for caller identification and spam protection and makes telephoning transparent and safe for consumers again. In addition, some well-known directory providers, such as Das Örtliche, rely on the intelligent software. Clever Dialer is available for iOS , Alexa Skill and as a Software Developing Kit (SDK) for business customers.

Clever Dialer was launched in 2014. Since then, the team at validio GmbH & Co. KG around CTO and founder Thomas Wrobel has been working on new functions and expanding the business model.

Source:

Clever dialer

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Notes:
1) This content reflects the current state of affairs at the time of publication. The reproduction of individual images, screenshots, embeds or video sequences serves to discuss the topic. 2) Individual contributions were created through the use of machine assistance and were carefully checked by the Mimikama editorial team before publication. ( Reason )