Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BD3EA707A325A32109F31DF9227131C22D383C6D79227F5B6B8D2689BB9D58BFA3544 |
|
CONTENT
ssdeep
|
1536:UlEnyTgbxkwO3RG0pwO3bGe4wO3mGYO4mBdQqTGFra4mBeQqTGfTG4mBFQqTGwGv:8g7nrEWxQMfPM0B7jRU7OZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9016bc3953e703bd |
|
VISUAL
aHash
|
000000000009ffff |
|
VISUAL
dHash
|
b4b5ccccd0333acc |
|
VISUAL
wHash
|
0404046608ffffff |
|
VISUAL
colorHash
|
07649000000 |
|
VISUAL
cropResistant
|
ab266dd33333d191,512a332a5488808a,b4b5b4ccccd4b033 |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)