Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16163A632A25658039097D2D5F1719B1E22828389C7174FA163F857BE7ECACF5AE123DC |
|
CONTENT
ssdeep
|
1536:X9grMUn0jOUbJo+9jo0Swu+IuBRbuUuQuuuouaRPozX7EbZHf+mkR2GRleVO+eHo:GrMG0vS7o/i/b1TFmkR2k8VleH99hG3L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3246c324dcfcb92 |
|
VISUAL
aHash
|
00007c7c0c6c7c7c |
|
VISUAL
dHash
|
d4c4d8d8dcd8d8d0 |
|
VISUAL
wHash
|
40427e7e4e6c7c78 |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
d4c4d8d8dcd8d8d0,c2574dc35d44434d,d261d2e3551d450d,03706c3b33393b1f,956969d9dcc42394,c2574dc35d44534d,c0c35f4dd0c3574d,2bebc9f92d2d250d,c2574dc34dc0574d,d261d2e3551d6d0d,e241d2675d6d0dd4 |
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)