Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12651A33B700C693A935383EE7DE0BABDA4570115A37216C814FA821D5BD0BE7C8A3292 |
|
CONTENT
ssdeep
|
48:T7mnRiu8CCw9CrTNmTNMLA0cgFj41XBKike9qGCrKY:T6sIC99/roX+vGCZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b839434f4e4c3e35 |
|
VISUAL
aHash
|
00ff8fdfffffffff |
|
VISUAL
dHash
|
631b3c30340dc26c |
|
VISUAL
wHash
|
00088f8f17557377 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
631c3a3031cdc26c,2006696171162000 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.