Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1182333A2B943242D32AFC3CFC15B251C5282E7CECA519EC9E7F05125E5F1D61FAD22A4 |
|
CONTENT
ssdeep
|
384:GbgVgPcpNRuUcf0zi1KTfuSHSASJ3pzyAB96RIY5uDMLgM6H0Af80m2W:Gbacsz5TuSHSASJ/9MgLUL0m2W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13636c3c73c3c63 |
|
VISUAL
aHash
|
0600003c7e380000 |
|
VISUAL
dHash
|
d4522af0d4f20c40 |
|
VISUAL
wHash
|
7e00007efefc0000 |
|
VISUAL
colorHash
|
38e00010000 |
|
VISUAL
cropResistant
|
d4522af0d4f20c40 |
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 942 techniques to evade detection by security scanners and make reverse engineering more difficult.