Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F412DFA0B097513F267387C5B6E46F6EA3D1850CCBC6C91281EC437B0B9BE48AD9F564 |
|
CONTENT
ssdeep
|
192:TsoF2j6FOjH6OHL5pSuXySn+nhTnCn+nl9nD/xNuESvVCKjWntSBQSmjPEb:qrD2KjWntRYb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4d31c2c5b2c5b74 |
|
VISUAL
aHash
|
00ffe7e7f79103d7 |
|
VISUAL
dHash
|
b105070745272626 |
|
VISUAL
wHash
|
00f7e3e7f7010393 |
|
VISUAL
colorHash
|
076010000c0 |
|
VISUAL
cropResistant
|
a105074e45272626,0000c0d0d9c82000,4d0c656547656d79 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.