Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123B3FF23421925274437C2D1346A5B3BD1B6D95BFAE70A010EECC7FB6BF9CA0B42B519 |
|
CONTENT
ssdeep
|
1536:GouWtpR4nXBKpSpFl26vk++iyBkl9g8dru9rn:NUMbRkldJu9rn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9752ece83aace941 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
1ccccccccc4c022b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
0a0000006c0 |
|
VISUAL
cropResistant
|
a24948d2524b8904,0010408090204080,8000609090600080,8000408090400080,888a1a9a528c3072,1c000956562b2b2b,910ccccc8ceccccc |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.