Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17512B4F1E094AF760B1282D5A7767B6B7AF1C244CB42094453F893AD5BCADB0CD2299C |
|
CONTENT
ssdeep
|
96:TkhPMT0z8mnzS/gOMbStqRjJVDZF6KXyX/cyt7zPz6g+AT431:QhPMT0z8mnIyV5JVD2XkyxPzD8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec139367931aa4 |
|
VISUAL
aHash
|
fff3f3f3f3ffff00 |
|
VISUAL
dHash
|
1027270727100004 |
|
VISUAL
wHash
|
0301010100020000 |
|
VISUAL
colorHash
|
06000000030 |
|
VISUAL
cropResistant
|
3027272727060006,fefc71fce869defc,0000002020202020 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.