Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1370363701198AD37A19381D9A62377AF31D0A249DF47130096EE43BD4BF9C66FC3B46A |
|
CONTENT
ssdeep
|
384:/Mh0RuDWdQbA08oqAWYH1D1zq1C/sFMTmdLy0ZVCS8EL+KD7EDau8ghLYq:/mbyTYVDoZVCFEDEb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b366666666236639 |
|
VISUAL
aHash
|
e7e7efe7e7f7efef |
|
VISUAL
dHash
|
4d4d080c0c0c1c0c |
|
VISUAL
wHash
|
2727272727272727 |
|
VISUAL
colorHash
|
07642000000 |
|
VISUAL
cropResistant
|
4d4d080c0c0c1c0c,01258bcd1e926584 |
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 187 techniques to evade detection by security scanners and make reverse engineering more difficult.