Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152A296709112AA3B9067F3D0BB69CB5733C056C9E7434B651BF8435DCACEDB0E915A44 |
|
CONTENT
ssdeep
|
384:VB8NO0Aq5SY5zW+/q/L/Pi/c/oCMAXjA6pyAxZAU/HWKp:VB8NVAq5bZAXjA6pyAxZAU/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f1f6060585f1e59 |
|
VISUAL
aHash
|
00bf3fbfbfe7e7ff |
|
VISUAL
dHash
|
f06c7878764e4ee0 |
|
VISUAL
wHash
|
0083af2f23a3e33f |
|
VISUAL
colorHash
|
07000000380 |
|
VISUAL
cropResistant
|
00a280e2e280a200,5e6c787e664e0ee0,07b0f170b00ed0d2,9617333b3333370f |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.