Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9D10FF0C458EE37475386D99BF66B0B73D1C359CB420D40A3F883AB5BCAC60DA255A9 |
|
CONTENT
ssdeep
|
96:TkJTSzeFvMSfuSTCctutQYSS8lWRFOuXKNwvFIeBXQz/JPYfYfGJ:QJTSzeFdjWcktQbWeyGzBsuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8e1279edbe380a4 |
|
VISUAL
aHash
|
ff00f8fcbc180000 |
|
VISUAL
dHash
|
2816f1f131b10620 |
|
VISUAL
wHash
|
ff50fcfcfc3c0000 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
0000000000000000,494970b03072b2b6,6b6b6b6b2baba6d4,6896f13131b10e30 |
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.