Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113B3DE23426925260437C2D1347A5B3BD1B6D98FFAE709405EDCCBF62BFACA0742B159 |
|
CONTENT
ssdeep
|
1536:3v7tpR4nXBKpSpFl26vYAy4HVZpAX+u+sE5qnQIvY:vUMHAHVZ8LfETYY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9252e92d0eed69e1 |
|
VISUAL
aHash
|
00040404040effff |
|
VISUAL
dHash
|
0c8cccecccdc002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
12008000c00 |
|
VISUAL
cropResistant
|
4414baaa44909087,0000402020400000,8000619191210080,0000400090004000,d6922a18242aa694,8c00095756533b2b,c10c8cccccecccdc |
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.