Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3D29631B0209B3B42E7C2D8B7A17F3EA2E78249D645045586FD83B95F93E08ED33695 |
|
CONTENT
ssdeep
|
768:IerqyjFqkyopE2Jk8WBQKVfrJ9RQhu+j7sOy2+y9BH4c1Ie:6yUkTuDt9mhuc7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34bb53af12cb88a |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
49e8c0c0c999e700 |
|
VISUAL
wHash
|
003c30f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,49e8e0c0c1d999e4 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.