Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCA3DC234159762A4437C3D130AA6B3BE1A6D99FFEE70A001EDCC7F62BF9C90741A159 |
|
CONTENT
ssdeep
|
1536:+StpR4nXBKpSpFl26vZSZi3zXwaGWIfnK:JUM2zAaGznK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ffa7f1891453829 |
|
VISUAL
aHash
|
b8f1f13f1f11313b |
|
VISUAL
dHash
|
726343c3f3e66766 |
|
VISUAL
wHash
|
80f1f13f1f10313f |
|
VISUAL
colorHash
|
0f201048000 |
|
VISUAL
cropResistant
|
136a6163674363e3,c383c3aa6ae6c2e6,9080a0c0c0a08090,908080e0e0a08088,8880a0e0e0a08088,9880a0a0a0a8808c,0e9584482503100c,636343c3f3e66366,172315b2a2154117 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.