Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA235BB26722B8B843DB91EEE73C2D55B2C1488DF8CB4554F5C95A8D13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aloveuH+EsZx8/G8A4QeDawJMjBiwOMjBbwZCN2/y9dGDTDiJE56ITmH+LCBlvNK:aloveuH+EsZ/8jQeDawJMjBiwOMjBbw7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3ec0c1c48ec3c3 |
|
VISUAL
aHash
|
ff818181ffffffff |
|
VISUAL
dHash
|
2b33333b17000300 |
|
VISUAL
wHash
|
0081818181ffffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
2b33333b17000300,4f7396b869dcf7b6 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.