Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECB1D83268908C32A6DFA9C9FBD1590B52F6874BEB434369D4F343ED42E6E6CD963044 |
|
CONTENT
ssdeep
|
96:8uX3b/09TBn9YLfqtoUUoGN2MU6m80n9gSXLy1O2Y8:/bs9T+xL2Mdm80n9g2m1O2Y8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc663333cccc99 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0c32b2b2b2b2320c |
|
VISUAL
wHash
|
1c1c3c3c1c1c3838 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c32b2b2b2b2320c |
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 84 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)