Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CE130F1D054ED3A035286D9E7B9AB4B73A2C349CF07154053F483ABABDAD60CB11599 |
|
CONTENT
ssdeep
|
96:Tko5CnbzD71tkz3t8v67McddtZgFwvFSe1XyHFle9XDX/FgtZX0EdzR:Qo5CnbzD71U3t8iIGdjg8ceRX6jkEd9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8b9439c1cc7c738 |
|
VISUAL
aHash
|
ffffffffdfff0000 |
|
VISUAL
dHash
|
08181830b4000000 |
|
VISUAL
wHash
|
070f0f0f07070000 |
|
VISUAL
colorHash
|
07c00030000 |
|
VISUAL
cropResistant
|
0818180030b01020,0000000000000000 |
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.