Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D929634A128697E414307DDA3137765315BE28AC78903146AFA06BA8FF1CE1FC655BF |
|
CONTENT
ssdeep
|
384:HRgnEk1q/GAhb5hgFs6edfx8AHHiCibIomr9lMnyNC6s:HRgx+8i55VE0XW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cde3669e3334641c |
|
VISUAL
aHash
|
f0f931383c3c1800 |
|
VISUAL
dHash
|
c4634372717170c4 |
|
VISUAL
wHash
|
f0f9f93a3c3c3810 |
|
VISUAL
colorHash
|
08218000600 |
|
VISUAL
cropResistant
|
de86838382820282,c4634372717170c4 |
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 200 techniques to evade detection by security scanners and make reverse engineering more difficult.