Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA22B5359002ED3B1583C3C177A2536BB6DCC756CC931E6A22F5470D4FC6EAAEC9225A |
|
CONTENT
ssdeep
|
192:h3+a79g74wF7tiPlhSckWhKcEh0cHIMU0yiJhZiDTnNRf+cxTHm2JSW1Z:h39ZgEwFoPqckNcRcHIMUShcDTnNJJTz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3e38c4ccc984b99 |
|
VISUAL
aHash
|
ffe7efff0000ffff |
|
VISUAL
dHash
|
2b4c4a0c44d03426 |
|
VISUAL
wHash
|
f9e6e6800000dfff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
234c4c4c480e0c54,c030342000343616,0002d4d454dc2200 |
Fake WhatsApp site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 2 techniques to evade detection by security scanners and make reverse engineering more difficult.