Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5D2A43272106B3F029783C9B721F72EE2D3A249DA57190642F8475D8BE7ED0DD6361A |
|
CONTENT
ssdeep
|
768:vmy5NR6MhA88v7378FtKQwc7sOy2+y9BH4c1Ie:UMjIotKC7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b81a47e7926cb869 |
|
VISUAL
aHash
|
180c888fcffff3fe |
|
VISUAL
dHash
|
e0f8303d1c3733d8 |
|
VISUAL
wHash
|
1008008fcfdff1fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e0f8303d1c3733d8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.