Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8932BF0A680FC2204B740C5B0DFE2C9F3BA0117FA590A90769DDAD673DB87705A756A |
|
CONTENT
ssdeep
|
1536:MSu6umkwIYZowbMySr0249HjBdzQ2N0msQw:MWBXVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6ba4569a996419e |
|
VISUAL
aHash
|
c3c79487c3403e12 |
|
VISUAL
dHash
|
0e0d650d0f8beca4 |
|
VISUAL
wHash
|
c3c7b587e3007e52 |
|
VISUAL
colorHash
|
19e00008000 |
|
VISUAL
cropResistant
|
0000000000000000,ffffffffffffffff,8862e1f07a7b7474,0000000000000000,ffffffffffffffff,38362e4f24d4cc23,f1ccce96c6ccccc6,f8cadbb333773e16,0e0d650d0f8beca4 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.