Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141C121F1E444ED37475386EAA7BA7B0BB6D1C345CA03054563F883AB4BDAC60CE1169A |
|
CONTENT
ssdeep
|
96:TkNTRnfzDJ1tkUcwt8v67MEd8FwvFwA2eeXtcFsZX4z/k/77G9a2iN0AC1d:QbnfzDJ1bcwt8iIesGmczUGoOrL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6be1c9c0ea6a61c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
28302c0c10000000 |
|
VISUAL
wHash
|
1c4c042400000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2038300c0c000000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)