Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A81546180599D335213E1D8AAE47B5B71C2C21CC6CA2A0867F8C3AC2EF3C9DDF76254 |
|
CONTENT
ssdeep
|
96:5ahExyosJoCByk1njbBy9upBllCoXmu2+VMeW:5ahExyZswfBjflmu2pX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e67f0b010999fd |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccc4c5d8d0d0d0 |
|
VISUAL
wHash
|
3f3337373f3f0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a0cc8c8d90808080,f184acb6b6ac84f3,0e71710e20000000 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.