Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A335C726771B8A883DB51EEE7382D49B2C6489DE8CB4550F5C996CD23C7CD02287BB4 |
|
CONTENT
ssdeep
|
1536:aI+EsZ/89WDVRnMQBIRyMQBhrpRXPZlQaQD9OehM+BrUgq4FJ:ahpR0RArpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9252ed2d9293d0db |
|
VISUAL
aHash
|
ff00040c0c00ffff |
|
VISUAL
dHash
|
c900888898885c00 |
|
VISUAL
wHash
|
ff004c0c0c04ffff |
|
VISUAL
colorHash
|
33000030000 |
|
VISUAL
cropResistant
|
8908cbdbc0c10000,2a32a22aaa3232cc,0800000000000000,49828888989898dc |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.