Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19573C732A64658139097D2D5F2719B1F22828385C7170FA163F857BE7ECACF5AE122DC |
|
CONTENT
ssdeep
|
1536:n7rMUiOUbJo+QtmugIuVRbu1u6NuXuouqRPozX9ZZf+mkR2GRleVO+eH99hGbzSo:7rMwtNaLiwJeTimkR2k8VleH99hG3SGT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93246c32cdcf1a9e |
|
VISUAL
aHash
|
42407e7e6e4c7e7c |
|
VISUAL
dHash
|
ce8ed8d8dcd8d8d0 |
|
VISUAL
wHash
|
02427e7e6c4c7c7c |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
ce8ed8d8dcd8d8d0,432c8c9d8c8c4d57,015c1c1e1c1b5a04,2bebc9f92d2d250d |
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.