Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15951623550118D3B6483D1D8B7F05B4A3190C200C79B173823F9676EA7DFD9AEE652C8 |
|
CONTENT
ssdeep
|
48:Iu5U8wuN2aCeiv5zTiyGPorEdavzs890ZU+FTGrUm:IkU8FYeivRT9u2NaWUm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f57c8b8f028f4e1 |
|
VISUAL
aHash
|
fe3c223fff1b19f9 |
|
VISUAL
dHash
|
0055565858737333 |
|
VISUAL
wHash
|
fe38201f2f0919f9 |
|
VISUAL
colorHash
|
07210018000 |
|
VISUAL
cropResistant
|
0055565858737333 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)