Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AB1CCB0A185DA3746D783F02234471F32DAEA89EA87032567F8C30C2ED6DE5ED5118A |
|
CONTENT
ssdeep
|
48:Ta5+HtGLSUA8b+MnQPGboK8mxKcbjxKcbjxKcbjxKcbmatKcbKPpVlxamTNesp5w:Ta5+H/w1bUK8GXXXDKBbUA5ZF4uBIm5u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
935c4e73194d6659 |
|
VISUAL
aHash
|
00ffffffefe7ffe7 |
|
VISUAL
dHash
|
32282a32584d2a4c |
|
VISUAL
wHash
|
00ff3c3c3c243c00 |
|
VISUAL
colorHash
|
07007010000 |
|
VISUAL
cropResistant
|
282a2a324d4d2a4c,0000083032300800 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.