Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE22D430B190177F611B8BB5F6A1BB6A68EEC30FE423C075A5EC415A97D6EE0CD42290 |
|
CONTENT
ssdeep
|
192:Xoz/sUXFEU19kfl8vJSIbBRXVRXbYfaX69:wSU19o6hBRXVRXbYc69 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9959666659791a5c |
|
VISUAL
aHash
|
00ff1cdbffffdbe7 |
|
VISUAL
dHash
|
10b0b2b23230320c |
|
VISUAL
wHash
|
00fffcfc3c3c1808 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
5030b2b23230320c,0000402020c002f0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.