Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151C212638E9540DB7716A3D041171F698841CC3F43A28A4CE1BED3A4B7F6CEAE55B398 |
|
CONTENT
ssdeep
|
192:EeHMqnabaMFLinfU87LF2Px/0ELb3tI8UT214Deoocr0UUGUUN60B/:XabaILicw5k/7nXPjcrFF80B/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0eb3b04507f5d6a |
|
VISUAL
aHash
|
00fffffefe300000 |
|
VISUAL
dHash
|
c8ed4a9494e4ce94 |
|
VISUAL
wHash
|
00fffffef6340000 |
|
VISUAL
colorHash
|
16609000000 |
|
VISUAL
cropResistant
|
9eb2c31b3596d4cc,6004e2b999899080,9990929a8a9d7938,bcbad68dc1a670f0,c8ed4a9494e4ce94 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.