Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DD1203665C0793701E383D9AB32A36BB3D08249CE271B0622FAD34D4FD3D46DD5295A |
|
CONTENT
ssdeep
|
96:TCQwo3rUGLJNybvPf8oi4VbBtTxlnnf5qZEL+R6U8cbAD:ZwmAGqb/8oNtZrf4q+RwD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2029e5ccdc74f9c |
|
VISUAL
aHash
|
000001010000ffff |
|
VISUAL
dHash
|
adadcfcb931b0f00 |
|
VISUAL
wHash
|
15050363c1c0ffff |
|
VISUAL
colorHash
|
1be01008000 |
|
VISUAL
cropResistant
|
07000c4c002b2b2b,adad9dcfcb939b0b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.