Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E463763292865C139197C2D9F170970E3281C785CB134B6563F957BEBECECB6AE2129C |
|
CONTENT
ssdeep
|
1536:a7+ZJMOo91r1f8TxntX1wi1k1iOl17161D12nbn0j8qyeeeewyeqeMeeeeHIeeeS:1Upf8TxvwouiIZgBf12X23q683EDITIB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f1cd363893c99269 |
|
VISUAL
aHash
|
f1817b7bc1c3c746 |
|
VISUAL
dHash
|
6b27e2d29a8a9a8c |
|
VISUAL
wHash
|
f1d179fb43424247 |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
6b27e2d29a8a9a8c,633348f3271f372c,2764e7f7e3ca6823,d7693248cccc442c,77961203835261cf,9793d6c449239771 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.