Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18823D030A401D83B01EB56C95676572A62F29309CA130689FFF883F95BEFE18CE37655 |
|
CONTENT
ssdeep
|
768:JWEu8VewUqSuLpgSSIFSjxSSkcZjzbtsIx/jGUfUf7x:JWEbSuLpgSSIFSjxSSLZj1sIxCUQ7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4524b2533dda3d |
|
VISUAL
aHash
|
e0f0f8f8fcfdffff |
|
VISUAL
dHash
|
24e632332915aa2a |
|
VISUAL
wHash
|
a070c0d8f8fcc3db |
|
VISUAL
colorHash
|
07002400080 |
|
VISUAL
cropResistant
|
24e632332915aa2a,5559199b8ac7a3d3 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.