Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA36A33411975274437C6D530A55B3BE2A6D94FFAA70E010EECD7EA2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:IcgLz4NP/y9svbliCd+KyvJjFtiuCa28y2O9:UmAFZvC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3adc29c343 |
|
VISUAL
aHash
|
00002000000400ff |
|
VISUAL
dHash
|
0c49c2c0c8ede398 |
|
VISUAL
wHash
|
83ff7038343c00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
808001383800a000,0e49c2c8e0c9ed53 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.