Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1803140259040995B01669B59F3B22DCCE0D220E8DD722E1072BB235BC6D9FC7D9AB3C5 |
|
CONTENT
ssdeep
|
48:TGpqG5rQ3REu/mpM4eIOB6Rn1uZEZaf2mOWcaxu:TGXQBxWMB9B21uZZ3O1axu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a22608dc08f7f2f7 |
|
VISUAL
aHash
|
0000ffffffffff00 |
|
VISUAL
dHash
|
cfff0c8e300400ff |
|
VISUAL
wHash
|
0000c3c7fffffc00 |
|
VISUAL
colorHash
|
06000c00008 |
|
VISUAL
cropResistant
|
cfff0c8e300400ff,fffffdf9f9f9ffff,fffffff9f9ffffff |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.