Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3F10DF1E040ED3B035385D9A7BA6B4F7691C349CF070A4193F883AA9FDAD60CE15599 |
|
CONTENT
ssdeep
|
96:TkJQrtanbzDJ1tBgt8v67McdpSS8LUXMFGIOXvHF22XpX/9t17ytS6Dd2J:QJQrtanbzDJ1Xgt8iIGiUzvXl/7ycsdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e4139b9b2c8cc7 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
380626a600180000 |
|
VISUAL
wHash
|
ffd3f3d3ff000000 |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
20162626a6063200,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.