Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141233F30A840EE3B01DB95D96272576A63F98348C6230699FAF8C3F94BDFC19CA37145 |
|
CONTENT
ssdeep
|
768:+o4444Jssx/j56xJAs6r1pOqtOzr1jz0X2qN6Vl7fhpd/NJehzBBtUf7ZF:h4444JssxA0XsrCkZD/NJ+zBBq7ZF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2c65ec551293f3 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e7e7efef232a1716 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
ff7672febcfef6f4,e7e7efef232a1716,e9e9f9f9fbfbfbbb |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.