Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1338152100559DA3B02D293C4B7F5EF6B73C08285DB178E8E9AE4970D8FCAE8ACD50261 |
|
CONTENT
ssdeep
|
48:LsupBagcni5VTw/DXQB5fnmoI6moPW6mo+1YgMt73TnUlquqkgRlLUa3bS21bi4M:Lsu9lKDX+mPgsYnuOXlrShXB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b803c764bc1b9b |
|
VISUAL
aHash
|
ffffdfdfffffff00 |
|
VISUAL
dHash
|
cca999b67009044c |
|
VISUAL
wHash
|
7ffccfd33c3c0000 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
cced9994b6692400,0000000000000000,02044c494d4c4402 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.