Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179A37DB16322A27DC4630394B16A772D333E916FE21E414CD35CAE5732DAC89A8776D8 |
|
CONTENT
ssdeep
|
3072:ps7txx1NoLtfx1NeHtYF1N2jtmX1NidXaL7wBFmv:2BFmv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4a1bfb8a5c8e492 |
|
VISUAL
aHash
|
ff0078f0c0809810 |
|
VISUAL
dHash
|
3362c0c288a03024 |
|
VISUAL
wHash
|
ff10f8f8e8c09c98 |
|
VISUAL
colorHash
|
0e602000008 |
|
VISUAL
cropResistant
|
02cb2327c31b0707,3133363cf0e0c082,32c0a08aa4a03024 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.