Discover and read the best of Twitter Threads about #insurancescam

Most recents (3)

SIVA PRAKASH VS XXXX INSURANCE

FAKTA KES

1. ‘A’ (arwah) terlibat dalam kemalangan jalan raya dan dimasukkan ke hospital ‘J’ pada 2015.

2. Dia mendapat rawatan susulan di hospital ‘K’ selepas sebulan.
3. Kedua-dua hospital memberi laporan positif kesihatan selepas discaj dan membuat lawatan susulan.

4. Pada 2016, ‘A’ membeli tiga polisi insurans dengan insurans XXXX. Polisi ini akan dikenali sebagai P1, P2 & P3.
5. Dia mengisytiharkan semua maklumat yang diperlukan sepanjang pengetahuannya. Tiada persoalan mengenai kemalangan dalam borang cadangan. Polisi diterima dan premium dikutip.
Read 24 tweets
SIVA PRAKASH VS XXXX INSURANCE

CASE FACTS

1. ‘A’ (deceased) was involved in a road accident and admitted to hospital ‘J’ in 2015.

2. He had a follow-up treatment in hospital ‘K’ after a month.

3. Both hospitals gave a positive remark upon his discharge and follow-up.
4. In 2016, ‘A’ bought three insurance policies with XXXX insurance. The policy will be known as P1, P2 & P3.

5. He declared all information required to the best of his knowledge. There is no question about an accident in the proposal form. Policy accepted and premium collected.
6. In 2019, ‘A’ bought another large sum insurance policy. The same proposal form was filled with similar answers. The policy will be known as P4. Policy accepted and premium collected.
Read 20 tweets
#Scamalert

Thread on scams being run on unsuspecting users!

#AmazonScam
Immediately after a big Amazon purchase you will get a call, claiming to be from Amazon customer care, with rewards for your loyalty.
Offering various products ranging from free shopping to Harrier
They will ask you to shop for a certain amount again to be eligible. You will be asked to add products to cart and for payment give a UPI link or Paytm link to make payment.
When asked why not pay on Amazon itself, you will be told that that's not possible for this offer.
The big issues with this scam, other than the scam itself, is that the scammer have all your data, for the last purchase, amount, what you bought etc. Points to a big leak in Amazon or on one of their vendors.
Read 20 tweets

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