Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A41407114159D7B11C2EAD4EBB0A94BB3CBC702DBA7070A9AE8D31D4EE0E90DC194A6 |
|
CONTENT
ssdeep
|
48:TsuYqbo6HrOrcI0fT5l4UsYRdkA2Fg4DJz:T1DFtzLsO4DJz |
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)