Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B173617112866D2F224391D1C61CE719A6D6C63EDBAB56479BEC43AF33D3CA0CD39224 |
|
CONTENT
ssdeep
|
1536:LunuXMc4fMgOAjR2DCp2j+SkNQS578K11doAme3PxhFN8MWLF9rX6fe2Z5r7eG7F:EYMx59tw8oOt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2502cbe96d696bc |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
ec93cccccccc239c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccccd4cccc230696,8ccbf197c0c8d4dc,45314169794d0149,0045457171494541,b3910064548b3430,e02dba52a396c64e,78b553725b595940 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)