Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF0254E1D064DC370B1285D5B7F67B6B76A2C348CB020D9463F853AE6BCADA1CB114AD |
|
CONTENT
ssdeep
|
192:QN/I+Rth4YnzH0LyQ2di9drh0QQTzfq4R6198K:QN/IGX4Yz9Q2dYVh0HNRU8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93838fec7c6c0e0 |
|
VISUAL
aHash
|
8f0f0f3fffffff7f |
|
VISUAL
dHash
|
3b3abb4b18d818d8 |
|
VISUAL
wHash
|
0f070f0b0f0f0f3f |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
3b3abb4b18d818d8,8d8c961480c3c703 |
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.
Pages with identical visual appearance (based on perceptual hash)