Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2321F309194696312D392D0BBB79B8F73818345DA230B152BF8C36EAEDFD56CC27195 |
|
CONTENT
ssdeep
|
96:T7wCwADMO8r3gS6O3grGjhf9MRT+co4f/vJP42eKoawvwrCipk+QeGlpIrgrskmX:nwCwA78HghZJ1Xpk+cuZdaoYNwi7VWL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3430c9cfcac57b2 |
|
VISUAL
aHash
|
3c282465e7ffff00 |
|
VISUAL
dHash
|
e1c9c949cdc93369 |
|
VISUAL
wHash
|
3c202065e7ffff00 |
|
VISUAL
colorHash
|
07000200180 |
|
VISUAL
cropResistant
|
f1c9c9494dc9730d,2c2c3c3c2c8c8e86,4541473d31ad5958,ccb0808084a2ac1a,0221096961690913 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.