Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18173317D52C26E3F104381D28318E369A386EE06D7A3599A97ECC31B7786DE4EC39174 |
|
CONTENT
ssdeep
|
1536:LdLy7bqjcNq06HjMqV0D4Io0D5x5+K8EE:eE6ND6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e040a6bc167eb6d6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
a4c38b339236270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03010000e00 |
|
VISUAL
cropResistant
|
21da98dadbda989a,900052d1aced5552,38789d9c8c8c8d8f,8282a2969e86b282,841a382727200d4d,84e3e3d78b2b1393 |
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.