Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3D371D56618438CA147C9ACEF2FFE05131FB5AABA544A80298EC26CD5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:uF0RQ7H4IGftYDuSe2TuFsR8MLqcHxFsR8MLqcMv:U0RQ7HDTDuEMm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6b61c9e0e9e1c1c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
690c0c0c10001010 |
|
VISUAL
wHash
|
9dc3c3e7cfcf0000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
610c1c0c08000000,0008103010100000 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)