Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100E2C5319049693F0A9773E1FB71A31BA29583C9EA43472582FD878D4FEBC90DD065E8 |
|
CONTENT
ssdeep
|
384:wEII2kZ8IIIII9hlBMHyi9bUUiHelBGpJ8c8qYCRMsWxy2DZSFXgea4HQ8pW:zIIUIIIIIZiFUUiHenGpmxCRJWxy/rap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e35c1c3963c69c |
|
VISUAL
aHash
|
00e3f7ef3f3c1818 |
|
VISUAL
dHash
|
87cfcdcbf1e4f0f0 |
|
VISUAL
wHash
|
00e3f7ef1f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0000c8c4c4c00000,87cfcdcbf1e4f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)