Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18805A5329071123B112F78D8D264AF4CA3A3D31FE7D227F2A1FE83516B86DA9581756C |
|
CONTENT
ssdeep
|
6144:tDgVXTKx+QeTA3Y7rmS6V9nDoL7E0ltumR8JBqD/4a3/d:tXoA3Y7rmS6V9nDSEA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e698e74916e9e912 |
|
VISUAL
aHash
|
ffff00c100e3f3f3 |
|
VISUAL
dHash
|
070e1705ec030b4f |
|
VISUAL
wHash
|
ffff000000e3f3e3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0206060606060606,0a16870387070702,c9e3f27159d3abcc,0200424202121212,68e8e8e8686868e8,b2930b2f278b8c8c,040c022c2c0c0204,cddc23038b0b0f2f |
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 19238 techniques to evade detection by security scanners and make reverse engineering more difficult.