Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166251AD463B8A2FCF406E3FCDB26B870362A28FE7A41C558C7A81D54E55109E9C5ADC3 |
|
CONTENT
ssdeep
|
3072:eVor2x8jK6OsC2cfXp81krrwXfMhwOwtqdwuIMpK2EQbFArTaQUysE6wlC5qZc:ir6EqjtqNrwlCh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36699ecd9896688 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4c4d4d5d4d |
|
VISUAL
wHash
|
e7c3c3c305052727 |
|
VISUAL
colorHash
|
06400400000 |
|
VISUAL
cropResistant
|
4d4d4d4c4d4d5d4d,8b7c70f0f0b3e071,c0884ed0780cf4d4,e92ececd2bceacac,cc5e8cccb0f3f6f4 |
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 97 techniques to evade detection by security scanners and make reverse engineering more difficult.