Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7C2A531A1506B3B42D383C97761AB2FA2E3924DE78A050543FD8B6D0BE7F51DD23926 |
|
CONTENT
ssdeep
|
768:/eNDFHj7mMJ5Tmvn+t7sOy2+y9BH4c1Ie:IsMJ4vQ7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d245b432b93c94ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc8c0c0c8cccc00 |
|
VISUAL
wHash
|
06707070404effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c4c0c8c8cccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.