Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5235A726722B4A883DB91EEFB3C2D46B2D1989DF8C74450B5C95ACD13C3C916287BB4 |
|
CONTENT
ssdeep
|
768:ab+EsZx8/G8RRF4EDaw3MCBPwLMCBywZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv+:ab+EsZ/8TOEDaw3MCBPwLMCByw0N2/y5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf9af06590e1f0d0 |
|
VISUAL
aHash
|
8581858585818181 |
|
VISUAL
dHash
|
7d797d4d4d47477f |
|
VISUAL
wHash
|
9f8d8da5af818383 |
|
VISUAL
colorHash
|
01000000180 |
|
VISUAL
cropResistant
|
7d797d4d4d47477f,40684e484c4c6a4b,fddcdcdcdcc3c3ff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.