Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6F10DE0C554EE37436386D997F1AB0B73D2C349CF46094093F883AB5BCACA0DB655A9 |
|
CONTENT
ssdeep
|
96:TkiYnSzeFvMSfuSTCctutQuSS8ct7yATWUlwvFxedXpHFHeVX/HFHe5XbHFieBXU:QnSzeFdjWcktQU7TW+HgBwpvuzSsuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce3318e7398639 |
|
VISUAL
aHash
|
ffffffffcbc9c3c3 |
|
VISUAL
dHash
|
00040e0c93b39b0e |
|
VISUAL
wHash
|
bbe3c3c3c1c1c1c1 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00040e0c93b39b0e,6373747cf7431805 |
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.