Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196834171D0B65237422E76E8F319172C62D3A3CFC7C927FA916826419FD5C89AC6349C |
|
CONTENT
ssdeep
|
1536:krCEo44LaL5kN6e4VO576p6smxEHZgCfXaBnSP9dkEMhH:kr8aL5kN6e4VO576p6smxEHZgCfXaBnH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf446bb2c89639c4 |
|
VISUAL
aHash
|
ff24063fff878789 |
|
VISUAL
dHash
|
cccc6ce4080f6b2b |
|
VISUAL
wHash
|
ff000436ff878789 |
|
VISUAL
colorHash
|
060030000c0 |
|
VISUAL
cropResistant
|
cccc6ce4080f6b2b,df7fbf3f1f37b75b,3028108080404143,1f0f13120e0f0686,c3c3e3f37339393b,3f02020101610d01 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.