Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B63A632A25659039097D2D5F2719B1F22828389C7174FA163F853BE7ECACF56E122DC |
|
CONTENT
ssdeep
|
1536:Z2rMUzOUbJo+m3wucIu9Rbu1uhuXuouqRPozXjZgf+mkR2GRleVO+eH99hGbzSGm:8rMl37uTiw8eT1mkR2k8VleH99hG3SGm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93346c3279cfc992 |
|
VISUAL
aHash
|
00007c3c0c7c3c3c |
|
VISUAL
dHash
|
ceccd8d8dcd8c8e0 |
|
VISUAL
wHash
|
00427e7e4e7c3e78 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
ceccd8d8dcd8c8e0,432c8c9d8c8c4d57,2bebc9f92d2d250d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)