Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115414431A01968731292CBD877E17F0B36D6C306CB222A0063FD539D9BFAD0EDD68494 |
|
CONTENT
ssdeep
|
48:nCKWhcqGgC9bK5aOWJGFPvaIU/G82DAnHk:nChrGPGaOyGFPvaIU/72DAnHk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6a6cc9999886666 |
|
VISUAL
aHash
|
ffffe6fee4e4f8f0 |
|
VISUAL
dHash
|
00104c100c4c3000 |
|
VISUAL
wHash
|
fcf8e0f8f8e0e0c0 |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
00104c100c4c3000,c0242b2c24242ad0 |
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)