Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11553367C41C46A33631789DF7CE55B9E729E4A26C60D3865F6398A838EC7C160B21F1B |
|
CONTENT
ssdeep
|
384:40+HBkhYHp/2D0PNT3QWap19uOK1cQAI6vI+7IEna9IIzsZ4Iu3MoFwcRDYWGuu3:ukhvrs7LV72LB0c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c11e7c3c1e6d1a4e |
|
VISUAL
aHash
|
00fffffffffff3ff |
|
VISUAL
dHash
|
3480e1c8c8c883e0 |
|
VISUAL
wHash
|
00fe7c6c7c7c407c |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
44c0c9d8c88b83c0,3434373139373434 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.