Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC5187B39805CC2E1A51C5E4EED5F10CEA53C496DA4A1AC592EC979F39D5EF4C4223CC |
|
CONTENT
ssdeep
|
48:nHRhv7lILIqvcRqRvhduvC9tC4QRTC2Ajct7yr:HRJAhrtuR+xjH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a22222195d5d7777 |
|
VISUAL
aHash
|
0000e7ffffffffff |
|
VISUAL
dHash
|
900d080008000000 |
|
VISUAL
wHash
|
000000fff0f0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
910d0c0000000000,0000000000000000,0000000000000000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.