Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BF12EF1E050ED37474385D9A7BA7B4FB691C349CA030A4493F883AB6BCACA0CF15599 |
|
CONTENT
ssdeep
|
192:QCwnfzD715lt8iIGwyykBNsXxYS7yFadw:QFnf1Zw/kjU7Gadw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e4139b1acdc31b |
|
VISUAL
aHash
|
fff3f3f3ffff0000 |
|
VISUAL
dHash
|
26262626b8002000 |
|
VISUAL
wHash
|
d3c3d3d3cfdf0000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
06262606a6b01600,fcfcf2f2fad1cdfc,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.