Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB12A7E34818AD3A018392E9D7B5AA5A32DEC05FD217170003FD87BC5ACBDE1DEA7465 |
|
CONTENT
ssdeep
|
192:RdWR+7WLn5YHd2pqhMUhMEhuNJGuDMlZJ7tTIiegfohPVL:RdWR+7W1YHd2pqqUqE+elZ6t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f838070fb88be8f8 |
|
VISUAL
aHash
|
0908d8d8d8f87cfc |
|
VISUAL
dHash
|
59b032b2b2b2e8c8 |
|
VISUAL
wHash
|
0908d8d8d8f8fcfc |
|
VISUAL
colorHash
|
32047000000 |
|
VISUAL
cropResistant
|
8687ab97fc6ebeb3,59b032b2b2b2e8c8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)