Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147745833421935260537C6D430B95B3BD2A6DE5FFAA70A010FECD7E72BE9CA0745A11A |
|
CONTENT
ssdeep
|
1536:VKII5VtsEJPjQBq1Wixx2lOvt8VPB6RxknNucRsCVi9Xx2UdP38NEfoUrbkr3nUR:VafLqkQ6BhF2TyGG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b73de0c299c3c998 |
|
VISUAL
aHash
|
ff8381af9fe7e7ff |
|
VISUAL
dHash
|
ec260f5c300c4d33 |
|
VISUAL
wHash
|
ff8180829e86e7c3 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
ec260f5c300c4d33 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.