Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C338D76623F5C67510FF2E4A3B48B292583DB86C3834BF6526952F63B8D8697D0308D |
|
CONTENT
ssdeep
|
768:VwGyOZyZoT6TlALA0ZYTuBYaV/VqhQExtA/U3nQUs1szWy3yYBylscc/IX0kv8/G:WOjxt359303/oqquM3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c3e49d392946e |
|
VISUAL
aHash
|
0000307e7c7c7c7c |
|
VISUAL
dHash
|
daa2e4d0d0d0d0d0 |
|
VISUAL
wHash
|
0000307e7e7e7e7e |
|
VISUAL
colorHash
|
03200030000 |
|
VISUAL
cropResistant
|
daa2e4d0d0d0d0d0,d0449a1c49c30f0b |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.