Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143B3DF33415925274437C2C1306A5B3BD1A5DA8FFAE70A415EECCBFA2AFDC90B41B619 |
|
CONTENT
ssdeep
|
1536:itpR4nXBKpSpFl26vDV3GTnT5/RbY+BRyw9X2:WUMyWLHY5wJ2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9252ed3829ed4de1 |
|
VISUAL
aHash
|
00040404040effff |
|
VISUAL
dHash
|
0c0ccccc8c1c002b |
|
VISUAL
wHash
|
000e060606feffff |
|
VISUAL
colorHash
|
0a0000006c0 |
|
VISUAL
cropResistant
|
44aca494c88c9c46,0000402020400000,8080619191610080,0000408090004080,aca42428040e1293,1c000957565b2b2b,900c0ccc4c8c9c1c |
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.