Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13041507118129D7761C3EAD89BA5B64B72CBCB06CB6B0A0E9BFC935D0DF0DA0CD150A4 |
|
CONTENT
ssdeep
|
24:hR5B7DYxvo6SHguKuW/IUZfpp5HUwpYHXxjjtONT7S8dgBEgcVTRk2NfNj5g0eE9:TXYNo6HLtI0fT5fUURdzA2Fg4DJz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc2674d9cc8ad9 |
|
VISUAL
aHash
|
00003c3c3c180000 |
|
VISUAL
dHash
|
36c57171717106aa |
|
VISUAL
wHash
|
10307dfffc3e0268 |
|
VISUAL
colorHash
|
0e007010000 |
|
VISUAL
cropResistant
|
cc8e8ee8c0407155,36c57171717106aa |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)