Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EE2E933F4003736235B6293FB56BF8DA3A14186CB111DA0A6FD422A7366D24B5B778D |
|
CONTENT
ssdeep
|
384:voPJntRmL+d9GAl8rPeJtCD0USR7mFwLLx981IRixZMRG3tuhomP/:vopd9GAGL2scR7Lx9gIW8T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0bd3fc283c63c63 |
|
VISUAL
aHash
|
ffc4407670607020 |
|
VISUAL
dHash
|
4a08aacacc84c0c4 |
|
VISUAL
wHash
|
dfff607e70707000 |
|
VISUAL
colorHash
|
38400010080 |
|
VISUAL
cropResistant
|
a6a5d5d32375a9d5,4a08aacacc84c0c4 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.