Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14112853482259E269193C1D5FBB2AB1721548B46C78207395AFC523EA9CECF4CD2A698 |
|
CONTENT
ssdeep
|
96:eu3PGBAMgfCgp5FBUyCVP9F2v49B4USV7OCAUWQnC1yghnC6PXj+uAlOFoqVuQFr:8BAjYXkwY97nsB1yRojcqweiQmk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333646667666531 |
|
VISUAL
aHash
|
c3ffffe7e7ffffff |
|
VISUAL
dHash
|
0e48124d4c303000 |
|
VISUAL
wHash
|
00242c24ecfcfcc0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0e48124d4c303000,0143a5aa2aa50301 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.