Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148E143E1C404CD3B03138AD6F7F56B5F65A6C349CB02098453F883EB5BDEC60C926A99 |
|
CONTENT
ssdeep
|
96:TknskVrm79ohOlzH0XfeGdVvkOn4adt7zkVjySSOdwvFmeIMXsdHFvexXMz/NQPJ:Qs979ohOlzH0X1dhXJdx8q2YazFQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8202fc7c38f3c3f8 |
|
VISUAL
aHash
|
003c3c3c003fffff |
|
VISUAL
dHash
|
9ee8e0e8b6f80000 |
|
VISUAL
wHash
|
003c3c3c000fffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
00000000004000f8,c0c0b0b0a830cc8c,0000000000000000,dee8e8e8e8f8faf8 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.