Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1731022680E456FB247D7C192F4FAA7DD51CD0ADE300E41EAE59FCACAE0F12B675118 |
|
CONTENT
ssdeep
|
768:YhGMhVS4V0b9ljTF9j1DNZokg0O06o+m9uesD8EQCaiq7:HMu4Vpq7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b14454aaceb693 |
|
VISUAL
aHash
|
0006ffff0f000000 |
|
VISUAL
dHash
|
d49adb9bdb5c481b |
|
VISUAL
wHash
|
000fffff0f073c01 |
|
VISUAL
colorHash
|
39400018000 |
|
VISUAL
cropResistant
|
8acc9d8496969684,55556a2b9dba3353,6766646e6a6a0a8a,d49adb9bdb5c481b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)