Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B833BF2A540FD131AF380C3608FA785B37F150BF92949907958CAC9B3E9C2747676A6 |
|
CONTENT
ssdeep
|
768:BT0TQH7c5UxYFQCLJO2WiFxaqc7/75lsVzc+b42NB2jIGrTnzq8QE12OlDlGYQZ6:y1O2WiFxaZ7/75yzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9292346d6d6c3cc7 |
|
VISUAL
aHash
|
062e3e003c0c3c00 |
|
VISUAL
dHash
|
9cd8ccd8e878d8d4 |
|
VISUAL
wHash
|
067e7e0c7e0c7e0c |
|
VISUAL
colorHash
|
30001008001 |
|
VISUAL
cropResistant
|
698c96644c696868,8a324c4c4c308aa2,e8cc84a6a6a6a69e,9cd8ccd8e878d8d4 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.