Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E7285B283187ABF74EBCAD8AA2A733B6156D14BF5D6014541FD8738C7C2D84EE23940 |
|
CONTENT
ssdeep
|
192:eWhHYuooj0Xd09YoCjnkn+J0R03/npxIIIImAypxIIIImZLUXdOFtOnAupwaKgnd:emYuNgHJY1c+Il0JWc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
990ce6f3cc88e6e2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
d7b3f3b3b25c5a0c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
000405151505048a,b2325a5a5a5a520c,d7f3b3f3f3b3b3b2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)