Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CB2321231081A95C2F34CD894503A45B282D74FC8719670D6BC5E3F1BE2AB6B7A9F7E |
|
CONTENT
ssdeep
|
384:T2iOqGri5MUMwhMwXU+AR86y02yC6Rah1rK8GcteMShhI:tTJt6OxaI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad42393946ad7a |
|
VISUAL
aHash
|
e7ffffdf8ffcfcfc |
|
VISUAL
dHash
|
0e08263618000808 |
|
VISUAL
wHash
|
00e781838fdccccc |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0e08263618000808,010000b2b20c1041,04c456a0b094958e |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.