Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158E1FDF1E004ED7B035385D5A7BA7B0BB691C789CF471A4053F483AAAFDAC60CE11599 |
|
CONTENT
ssdeep
|
192:QcC4ngknzD715lt8iIGd6JxlyV87Np42Pqw:QcChkznf1ZCxle87RPqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b14ece4eb431b1 |
|
VISUAL
aHash
|
ffcfcfc3ffffff00 |
|
VISUAL
dHash
|
06969a9618000000 |
|
VISUAL
wHash
|
30000000ffffff00 |
|
VISUAL
colorHash
|
07002600080 |
|
VISUAL
cropResistant
|
04169a9616000000,61a29ac6e4d4cede,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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.