Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE745467021979264437C3D134699B7AD1A7DE9FFAA70E004EDCCBF62AF9C60740A21D |
|
CONTENT
ssdeep
|
1536:MaHN4eiMUgQmTa3MZo+Hd1+m0eupzMN6+0aNmiod+Smfu4/ZT4oU5yh0ZH5I8SzH:rjOQgDfQcJqLGy3Yb4YET5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db79999231c66474 |
|
VISUAL
aHash
|
00000000003c3c3c |
|
VISUAL
dHash
|
b879604969696969 |
|
VISUAL
wHash
|
7e3c303c3c3c3c3c |
|
VISUAL
colorHash
|
01007000000 |
|
VISUAL
cropResistant
|
8e8cc08884494d55,b879604969696969 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)