Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111B3FE23515976270437C2D0346A5B3BD1B6D98FFAE70A404EECC7F62AF9CA0B45B119 |
|
CONTENT
ssdeep
|
1536:cVptpR4nXBKpSpFl26vUL4Y2puuZuK5OwN+ZB2FhM:iUMz4z/sRgu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ed682bcc6de1 |
|
VISUAL
aHash
|
00040404040effff |
|
VISUAL
dHash
|
1c9cccfc9c8c002b |
|
VISUAL
wHash
|
0006060e06efffff |
|
VISUAL
colorHash
|
12000010e00 |
|
VISUAL
cropResistant
|
616aaa022488984b,0000402020400000,8000619191210080,0010409090004080,949222a88622aca4,ec000d5756532b6b,d03cdcccfcdc9c2c |
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.