Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0A3CD23816975274437C2D0307A9B3BD1A6895FFEE70E010EDC8BFA6BF9C90742A559 |
|
CONTENT
ssdeep
|
768:StpR4nXF6YjOpSpFlTC6rrgO+cYS49VEietBVX:StpR4nXBKpSpFl26vR+cY1EnBVX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313ec6db89213ce |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
526c69d96a222626 |
|
VISUAL
wHash
|
00343c7ca600ffff |
|
VISUAL
colorHash
|
33000c00040 |
|
VISUAL
cropResistant
|
020080e060600042,0200006060600042,020000e060600042,820080c0a0800082,86c9242636669696,12546d49d9686a22 |
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.