Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107A34CB43A58F5766AB34397509F2503B338512BA40E4C20A354ECAE72ADC9FA077FD5 |
|
CONTENT
ssdeep
|
1536:RKRhgL1k/1XFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:RAhgLq9XjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4ce8e656d652c8a |
|
VISUAL
aHash
|
ffffc7c3c3c3c3ff |
|
VISUAL
dHash
|
2608969696869630 |
|
VISUAL
wHash
|
a1c3c3c3c3c3c3c7 |
|
VISUAL
colorHash
|
0e000030040 |
|
VISUAL
cropResistant
|
2608969696869630,0310003030000000 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.