Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AD2CDB12287496FEA8781D6FF566F98918AD31BC6538C88FBF24157DF42D24BC49220 |
|
CONTENT
ssdeep
|
768:BZsFu+ZkKDA20DZHweDnndYXPtv0soV8lOpPyy2VzfE4JledksVtbtVdmLg2IZD2:VpaC982Y95F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fea06a48ae841f57 |
|
VISUAL
aHash
|
ffc18eff80000080 |
|
VISUAL
dHash
|
199b3ab62532a451 |
|
VISUAL
wHash
|
ffe1fedf8000d480 |
|
VISUAL
colorHash
|
11006000000 |
|
VISUAL
cropResistant
|
199b3ab62532a451 |
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 138 techniques to evade detection by security scanners and make reverse engineering more difficult.