Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFF124E1D440DE3B475286D5F7B53B5BB791C34ADB07094193F883ABABCAC60CA12589 |
|
CONTENT
ssdeep
|
96:Tkq3czDxLSTBJ8v676iNS2CwytXYDwvFQeLWXhX/btx7yty6bt2KU7mST2R:QSczDx2D8iecCwyC+LuXjb7yUkAKU7DA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec129313d71393 |
|
VISUAL
aHash
|
fff3f3f3ffffff00 |
|
VISUAL
dHash
|
4636262607000000 |
|
VISUAL
wHash
|
f7939391f3ff0000 |
|
VISUAL
colorHash
|
07c00000008 |
|
VISUAL
cropResistant
|
86362626260e0400,0000000000000000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 58 techniques to evade detection by security scanners and make reverse engineering more difficult.