Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1E1B3213150292F137342F4B1A5B76AA4FA970DDA17DC48E3BC025B1BDFDEA8885365 |
|
CONTENT
ssdeep
|
96:Mu9SH46Ys2wPi4nt+4c+429REwxzlcLy8vn450dSD0Lm0dSD09muTp3k1ak7DbId:XFlI/9YO4G47Jk4k7QSvXOiK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b86d63924d90ef |
|
VISUAL
aHash
|
01010f3e3f2c2000 |
|
VISUAL
dHash
|
fb3b6cccccdc4373 |
|
VISUAL
wHash
|
010d1f7f3f2eb809 |
|
VISUAL
colorHash
|
19c00011000 |
|
VISUAL
cropResistant
|
ac6c9a8686aa8e8a,fb3b6cccccdc4373 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.