Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAC2D8B192C896B57253C7E8A53467BE725730ECDF27C10482E48B55ABC2EEDDC268C1 |
|
CONTENT
ssdeep
|
384:GXcNZ/JT85mB9AwgsBJPQpp5shM/JTVR/xjL3dV9cU:TI8rzYrmaXB9cU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd437349c9636359 |
|
VISUAL
aHash
|
20bf2420183c00e7 |
|
VISUAL
dHash
|
c87149557068354d |
|
VISUAL
wHash
|
60ff3c243c3c01ef |
|
VISUAL
colorHash
|
38012200000 |
|
VISUAL
cropResistant
|
8280a08e868e8084,c87149557068354d |
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 486 techniques to evade detection by security scanners and make reverse engineering more difficult.