Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108A3CC274229352B4537C2C434BA5B3BD1A6CA5FFAE70D010EDC8BFA6AF9C90745A11D |
|
CONTENT
ssdeep
|
1536:elbapoxtpR4nXBKpSpFl26v47Fn5TTfHsX:UUMz5To |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313ec6d9812ce6d |
|
VISUAL
aHash
|
00003c2c040000ff |
|
VISUAL
dHash
|
524469e96862860c |
|
VISUAL
wHash
|
002ebc7cbeb002ff |
|
VISUAL
colorHash
|
32000640000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,90008002c468362e,524469e9686a629e |
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.