Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122D3A4D55618038CA147CABDFF2FFE05131FB1AABA558680294EC26896CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:nA0RQ7HM72fURahlNnXvlFsR8MLqcvXFsR8MLqcMWa:A0RQ7Hqha7GGy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed69929669496cc5 |
|
VISUAL
aHash
|
dbdbf3c1d3d3ffff |
|
VISUAL
dHash
|
2323121232261b1c |
|
VISUAL
wHash
|
81c3c3838383fbcf |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
2323121232261b1c,630703f06f370ecd |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.