Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F223A3706081763F20D3C3E677B55B1FE2EA8349C7235A5A93F8C7A80BE6C91EC52159 |
|
CONTENT
ssdeep
|
768:q0apVXZtmKeXvXA0UHeuhrjjdZqHWLq2DU3WlEVx8JBSBvB5J:IVp4KeXvA0UHeoXDU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce46d9769c703932 |
|
VISUAL
aHash
|
103c18103800637e |
|
VISUAL
dHash
|
f46170b261c9cdf0 |
|
VISUAL
wHash
|
183c18183c30ffff |
|
VISUAL
colorHash
|
00e00000000 |
|
VISUAL
cropResistant
|
31310820280d0d0c,33f2cc2a2b3ad88a,f46170b261c9cdf0 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.