Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A7241766044EA7B029382E2A77A272BE3F28682D596051252FCC75CCFF6D46DC23913 |
|
CONTENT
ssdeep
|
192:IeAjYPiY86aLxPa6QPL7JZBZ8D1+gf3sjXs/j:Rb8lULDS1d8m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f333689c49db88cc |
|
VISUAL
aHash
|
c1c7e7c7ff87dbc1 |
|
VISUAL
dHash
|
1b8c8d5c203e3313 |
|
VISUAL
wHash
|
81c7c3843f83dfc1 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
1b8c8d5c203e3313 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.