Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2821027B089D62E4E9750FDEAC8B6A5B64D9185F730848269F4913FDB42CED383139C |
|
CONTENT
ssdeep
|
384:wwN01VURGUpSPHJTAf7oUeIC9jUgQU1O7fMmUFCon:wwoUnpSPHJTE7zeIC9wgQU1O7fBUsA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc06fe66e6e2e024 |
|
VISUAL
aHash
|
370f1f7f07c39fdf |
|
VISUAL
dHash
|
ed78fcec6e363836 |
|
VISUAL
wHash
|
070f0f0707839f9f |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
ed78fcec6e363836 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.