Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174F2873220446ABF12A782C677747F5EE2DAE659CB571B6563E8830D03D7ED0CE31862 |
|
CONTENT
ssdeep
|
384:KBOb7/QY4Sr+I0yzPE1HRHFU+kF1FNqYP/IkHs0F9+sDImcUjySURmgNq:KBOb7YY5+IrGxHFWLZnMM+sEmczc0q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6b9b887b9f34844 |
|
VISUAL
aHash
|
ffff000030342400 |
|
VISUAL
dHash
|
6be3c36ceccccc8c |
|
VISUAL
wHash
|
fff8702036767600 |
|
VISUAL
colorHash
|
39200418000 |
|
VISUAL
cropResistant
|
42005b6363430001,f48c16165a1280c0,0020047871700c20,c4c3cc6ce4ccccbc |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.