Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153D174B923600D7F718B4EF8F254737D61EF82DBEA67A5A8A2BD416297C7C48DC12050 |
|
CONTENT
ssdeep
|
96:zwrYvg3WCXzUKtWjZgjdZNKjWCq12bBq3WCXzTadWZ8796hUpMHYxJEGCmlLqM:zS3tW2dKQ1VzhzUpMHYoG1lL3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3595c665c487259 |
|
VISUAL
aHash
|
00ffffffffe70000 |
|
VISUAL
dHash
|
8e48483a4d0c3254 |
|
VISUAL
wHash
|
00e7efefe7e70000 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4d484848324d4db2,0000000001000000,8040a0a2aaa08040,001024b2b2300800,082032320c323008 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.