Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172636230A411E83740DF65CA6232671A62E6A342CA9347D5FAF483A86FDFC74ED73125 |
|
CONTENT
ssdeep
|
768:wRmGk5aosIx/jTjI6GhwHvr6zeJbvJxrXPtUf72:rzRsIxnjIZhsvr6zObv7XPq72 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e11e1cf7e760214e |
|
VISUAL
aHash
|
000060e0f0e0e040 |
|
VISUAL
dHash
|
9c94838acacb9093 |
|
VISUAL
wHash
|
4200f0f0f0f9f8fb |
|
VISUAL
colorHash
|
30400018040 |
|
VISUAL
cropResistant
|
71e8cca26571cd96,b4da7271717b7294,5f7673b2e428b4e8,9c94838acacb9093 |
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 72 techniques to evade detection by security scanners and make reverse engineering more difficult.