Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB73FBAA1851601A477740E394BB2BCAB7395C2FF51C05D1A4B8C7F672E88F5312AF4B |
|
CONTENT
ssdeep
|
1536:gV2FI9oCs6RDfMyLBvNIGLdjSmMQejLvFcIItdOiGpC2n5XXspLtyOloQzZs8oWA:1IJaq9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19bcece99696424 |
|
VISUAL
aHash
|
ffffc3c3c3c3c3c3 |
|
VISUAL
dHash
|
0c8e969e9e969696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
17200400080 |
|
VISUAL
cropResistant
|
0c8e969e9e969696,73989adccaa29961 |
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 230 techniques to evade detection by security scanners and make reverse engineering more difficult.