Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186D39370C242252B006B8AC4F572E70D21B5824DC7834A5997FEA7E9A6CEDF1DD2758C |
|
CONTENT
ssdeep
|
1536:hWIICJY0PQOiKAfo1W+vLyEU2LGEnak40GOCBp/mxNJk40GOCBp/mxN1WjfJWwUk:hBJjQOiKAfo1W+vLyEU2LIdSTeBgG7m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93956c6492d5e52d |
|
VISUAL
aHash
|
060e0f6f2f600011 |
|
VISUAL
dHash
|
be38dad8d9cbe861 |
|
VISUAL
wHash
|
060f2f7f3f6d0031 |
|
VISUAL
colorHash
|
30001400018 |
|
VISUAL
cropResistant
|
f3f1f1b492337555,be38dad8d9cbe861 |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.