Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15973A7B1D4B584770A8AB7E0B625671F72C3C34BD9420BE6DBF843182DCAED2AD13459 |
|
CONTENT
ssdeep
|
1536:bT8FgMk1dqAGFTpdLo3glNgMk1dqAGd2mIeilTMLD+pf9MPJKMVS2hs9hpMwjkj4:n8Ejp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4130e1b5e716735 |
|
VISUAL
aHash
|
0003c3c3c3c3c3f3 |
|
VISUAL
dHash
|
49268e86968696a6 |
|
VISUAL
wHash
|
00ebc3c3c3c3c3f3 |
|
VISUAL
colorHash
|
0e0002c0000 |
|
VISUAL
cropResistant
|
d896942ab696f84a,cedadb4eccd19696,9abc3e16726b3317,e323337364686464,49268e86968696a6,2f33395572705468,2b335111d5727050 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.