Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE932CF0A680FE13087B40C1F09AE685F3B64516FA480D90799DDED6F3DA86F01B76A5 |
|
CONTENT
ssdeep
|
1536:QCtKWY0MymeuT1wqRHOX/28IrBYzQ2N0msQw:tI+Vw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e08fd83be1d209f2 |
|
VISUAL
aHash
|
ff1076762000f4fc |
|
VISUAL
dHash
|
d8e4c4cccece8494 |
|
VISUAL
wHash
|
ff3476762000f4f4 |
|
VISUAL
colorHash
|
100000001c0 |
|
VISUAL
cropResistant
|
806464328071718e,b8962f6fb6d4ccb7,f0ccce9686ccccc6,d6e9cc8cccc84a5a,d8e4c4cccece8494 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.