Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D54363B2708CDEAB4137C2D6B8543F58E2C7F71FC60909A67AAE45364ED3DF42845892 |
|
CONTENT
ssdeep
|
1536:3g1Gex01IlhYeMS9RtldlsHZA6+TfYJTZDocmQsYlQmvCiLYwy4eo5HYFacdscux:3goS9RtoZYoqcF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0097e36372c3f36 |
|
VISUAL
aHash
|
0078787b7efcf0f8 |
|
VISUAL
dHash
|
c3e3e3c3e0a4a5a1 |
|
VISUAL
wHash
|
007078737efcf0f0 |
|
VISUAL
colorHash
|
06e01000000 |
|
VISUAL
cropResistant
|
c3e3e3c2e8a5a5a1,0be3c3e3e3e2c3c3,791bce98397669d0,8781301a8e964249,0f0f0f0d0d0f0bd9,c7c96d650f8f93c1,1323236501112737 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.