Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3147494B2E29C32301F81F294A467094192FBBBC7411FC767B146B5EAF58BD384E29D |
|
CONTENT
ssdeep
|
3072:ILxSI4URg4HfzAeKW92Rrtar+fXu54wu3xBtH5+jOOWzncFN7/jSeOC37VWBIr46:IKalU3zmhFcc+A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3480c737f5c7326 |
|
VISUAL
aHash
|
007fffffe7e7ffff |
|
VISUAL
dHash
|
0088880c4c4da0e8 |
|
VISUAL
wHash
|
0000e7e7e7e7073e |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
8000c082a2800080,a888084c4d4da0ec,4145808280c02120,2933326667673f1f |
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 186 techniques to evade detection by security scanners and make reverse engineering more difficult.