Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126621271A24A28FB0602D8C7DE053B4D76C000FFDB6B120586F59ABE3DFAD55D52A28D |
|
CONTENT
ssdeep
|
192:Yl0CnTLg402eEaEiECB+dgb7e3KWDeD78DarttwBCVTQ61M:w0D2e1Dxwd3KzrttwBGT/M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3323c3cb4c6b2c7 |
|
VISUAL
aHash
|
4620646069007070 |
|
VISUAL
dHash
|
544bccccda5bc0c0 |
|
VISUAL
wHash
|
e6c874746b03747c |
|
VISUAL
colorHash
|
38c00018000 |
|
VISUAL
cropResistant
|
544bccccda5bc0c0 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.