Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BB2343261061576715395FAF2293E67B744EA81CBB746D8E3E6C23A4BCFC92CE2144C |
|
CONTENT
ssdeep
|
384:TbNGm8KMLaoLqMoGkSFh1MODgsXnSc0IwrpXh:TbN/9MeMx5MaXnT0Fpx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce649330d28ce37e |
|
VISUAL
aHash
|
6e60707070403e7c |
|
VISUAL
dHash
|
cc43c5e5c50530c9 |
|
VISUAL
wHash
|
7e7070707020fcfc |
|
VISUAL
colorHash
|
0e200030000 |
|
VISUAL
cropResistant
|
cc43c5e5c50530c9 |
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 92 techniques to evade detection by security scanners and make reverse engineering more difficult.