Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132532B32E6293D6E63DB40FDE73D7B5672C18448E545C4247A9C936D23CACE2324A7B8 |
|
CONTENT
ssdeep
|
1536:afgcprpr5rcenNe4exVe0feFye0NeTfemZx6JWVUG+eiDvn/eJ3rkRcMQB2REMQa:aYU5pT6hRdRb3mDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6d92924c6d617c |
|
VISUAL
aHash
|
d7f3c3d3d3cfc7cf |
|
VISUAL
dHash
|
36069696b61e3e1e |
|
VISUAL
wHash
|
81c3c3c3c3c3c7c7 |
|
VISUAL
colorHash
|
07000000e40 |
|
VISUAL
cropResistant
|
36069696b61e3e1e,6f47c7df7f3307c6 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.