Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A12DB7092121A3ED12B8AC4F671B789425BA35AEB27514DE2ACD73277CF8D58C750D0 |
|
CONTENT
ssdeep
|
192:gBcAZoQX4N0GZ+hJ3W+tvQXF7P8wW9W3tvQXF7M805Nu:WcAyijJx5itF5ie5i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d3737278c8c2533 |
|
VISUAL
aHash
|
0224001800000000 |
|
VISUAL
dHash
|
0648083200000000 |
|
VISUAL
wHash
|
cbe7c3db00000000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
0648083200000000 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.