Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4B2351221081A95C2F34CD958107A41B282E74FC8719770D6FC4E7B2BE2A76B799F7E |
|
CONTENT
ssdeep
|
384:TKBDoOyCelfeaQeaV9onnOJLcmn5JGdC6aaNgDjxbWTeZtXGLhROh:1hYMnO1cm5YJ7OfW30 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5238ad52b947 |
|
VISUAL
aHash
|
ffffeff3f3dcfcfc |
|
VISUAL
dHash
|
4c480c2726104808 |
|
VISUAL
wHash
|
00ffe781f1dcfc00 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4c480c2726104808,44c4d2949290948e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.