Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182234A726332B4B883DB91DEF73C2E46B2C29889F9C74554B5C99A8D13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a0+EsZx8/G8/zRF4VDawUM5BdwPM5BowzqN2/y9dGDUDF1E56ITmH+LXPnTyPqD4:a0+EsZ/8/dOVDawUM5BdwPM5BoweN2/s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333dccc06d8dc07 |
|
VISUAL
aHash
|
ffe727e727e7ffff |
|
VISUAL
dHash
|
8c4d4c4d4d4d310c |
|
VISUAL
wHash
|
7e470607272701ff |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
8c4d4c4d4d4d310c,ffffffffbf733f3b |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)