Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19393F8603D58E9664AEB56D710BB101372BC4317840B0D90FA21EBF963BECAED277E45 |
|
CONTENT
ssdeep
|
1536:CksIxDQw5bg7dbD0JFQkHNhh8e/dbFXRjaPnd/Cv/3Z:Ckhg7dbhame/pFdn3p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b232c9cd66663399 |
|
VISUAL
aHash
|
ffffc7c3e7e7e7ff |
|
VISUAL
dHash
|
0c304d4d4d4d4d20 |
|
VISUAL
wHash
|
f4ccc0c0c0e4c0e4 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
0c304d4d4d4d4d20,63599d958dcdc173 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.