Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AA3FD234159362B4437C7D130AA5B3BE1A6999FFAE70A001EDCCBF72AF9C90741A51D |
|
CONTENT
ssdeep
|
768:dOLZJitpR4nXF6YjOpSpFlTC6rrW530ZtbfrBC8jsjZHgaKIKE:IitpR4nXBKpSpFl26vy0Ztb1Cvj2RIKE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936d6c13136c6d6c |
|
VISUAL
aHash
|
001f076e6f2f0103 |
|
VISUAL
dHash
|
dbbd79dcdcdcb377 |
|
VISUAL
wHash
|
000f017f7f3f058f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd7bb9b8b8596bcf,dbbd79dcdcdcb377,a04343c6a55b518c,06432193960e3a32,ea110d33330d11a8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.