Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3E155E1D404ED3B471285D5FBF56B0BB6D1C355DF02098093F883AB97DACA1CA2269D |
|
CONTENT
ssdeep
|
96:TkYTKuzmXwseSTYBQjIdtHMTUak79wvlRQe5XeHlQeJX54/zYbt75T+lST5J:QYTKuz0wqMBQMdFMIak78IZ/4LWXT+Ub |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3f365cc4c5c1919 |
|
VISUAL
aHash
|
00ffffffffff0000 |
|
VISUAL
dHash
|
4c0c180c0e000000 |
|
VISUAL
wHash
|
00e7efe7e7ef0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
4c0c180c0c160808,0000000000000000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.