Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F553B7201142AA3F2FE352E06760EA49A75AF354D31B8B4D53FC424A7BDEC52EC255B8 |
|
CONTENT
ssdeep
|
768:EVWwnGuN0SKLEHN0AOfrKkN07Mir2SwmdiKGlhN009MW0G7:yx0/LC0A40gM2SwGpK0jJG7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9346bbe83439cf12 |
|
VISUAL
aHash
|
0020240606ff8f8f |
|
VISUAL
dHash
|
adcdcccccc3b1818 |
|
VISUAL
wHash
|
0474640606ffcfcf |
|
VISUAL
colorHash
|
30400080001 |
|
VISUAL
cropResistant
|
1792e96b6eec9197,787898636b696969,adcdcccccc3b1818 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.