Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142D14F396084963B04C783E4BBB2571F3696C284DE0307050AFA939D9EEFF6DDD96285 |
|
CONTENT
ssdeep
|
96:TU0PoEqLRYnjhI6ykVlmnFoadlU1iruoEu9V6+:g0wEqFYjhI6JqCQl6irdEu9V6+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8ce20312fcfdf22 |
|
VISUAL
aHash
|
007ffcbc01cf4600 |
|
VISUAL
dHash
|
33a6e06019188c29 |
|
VISUAL
wHash
|
007ffdbea1cf4600 |
|
VISUAL
colorHash
|
39600008000 |
|
VISUAL
cropResistant
|
00c0d00080808080,33a6e06019188c29 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.