Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5A308FAE7C8A964B10367D8F0A173161257217ADF45CEC8DB6C56B8E3D1C884CB79A0 |
|
CONTENT
ssdeep
|
384:gSgUgYROz1SgeiW2pl6kuFS5Wmc/J0Ff7I869SgUgYROz1SgB0ioloBozooIoMoW:7iW2pl6kuFS5Wmc/J0Ff7IEt+pRbLXz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3f62c0dbc341725 |
|
VISUAL
aHash
|
f6fffffffc000000 |
|
VISUAL
dHash
|
0400c80840c8d0d0 |
|
VISUAL
wHash
|
c0fffffffc000000 |
|
VISUAL
colorHash
|
18008000680 |
|
VISUAL
cropResistant
|
0004404604044400,0400c80840c8d0d0 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.