Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C463763292865C139097D2D9F170970E3281C785CB134B6563F967BEBECECB5AE1129C |
|
CONTENT
ssdeep
|
1536:8y8H6Bd91z1Fuwjoxh1wi1X1b7l171Y18157JFdUHknyeeeewyeqeMeeeeHIeeeC:LRFu/woFbjZymLn12bKvCG83EDITIINQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f1cd363993c99229 |
|
VISUAL
aHash
|
e1817b7bc1c3c746 |
|
VISUAL
dHash
|
6b27e2d29a8a9a8c |
|
VISUAL
wHash
|
f1d179fb43424247 |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
6b27e2d29a8a9a8c,633348f3271f372c,2764e7f7e3ca6823,d7693248cccc442c,26d8705949c9094b,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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.