Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC7155B3D01068AA630385E4B680770D768F534ECE4764D0F2F8575E67DFD90A6292E0 |
|
CONTENT
ssdeep
|
48:gRF2yPbu+F+u5UMktUuUMURMHJ5U3CUun36eqp/uON1HAE:gzzPyw/5UMCUuUMUo5U3CUuKeZON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6266622d98bdd38 |
|
VISUAL
aHash
|
c3c3e7ffffffffff |
|
VISUAL
dHash
|
8e8e0c1014000000 |
|
VISUAL
wHash
|
00000000c3fffffe |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8e8e0c1014000000,36fcf069696460e2,8182a6ac8ccc2c80 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.