Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11463A732A25658039097D2D5F1719B1E22828389C7174FA163F897BE7ECACF56E123DC |
|
CONTENT
ssdeep
|
1536:F8rMU3OUbJo+duuIuhRbuyu2uXuouaRPozX4ZHf+mkR2GRleVO+eH99hGbzSGc+6:SrM3YfiZdeTzmkR2k8VleH99hG3SGPuB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3246c324dcfcb92 |
|
VISUAL
aHash
|
00407c7c4c6c7c7c |
|
VISUAL
dHash
|
d4c4d8d8dcd8d8d0 |
|
VISUAL
wHash
|
40427e7e4c6c7e78 |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
c4c4c4c4c4c4c4c5,a6a6b89a9a9a9892,e3e3e3e3e3e3e3e3,6367676767676767,6327272727272727,03706c3b33393b1f,956969d9dcc42394,2bebc9f92d2d250d |
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.