Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFE155D1C414DD36032286D6F7F52B5BB6D1C34DDB06098453FC42AB9BCAC70CB26A99 |
|
CONTENT
ssdeep
|
96:TkO7moh4lzH0XfeGUEdt7wcwvFOeR7XF2HFGeZXHz/1t7lqQPJ:QO7moh4lzH0X1UEdSfuHxz97qQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b89b6d6516166547 |
|
VISUAL
aHash
|
00ffffffc3c3c3c3 |
|
VISUAL
dHash
|
293233008e969696 |
|
VISUAL
wHash
|
0081bfdfc3c3c3c3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
331333008e969696,0000020414040000,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)