Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CB2625231081996C2F34CD894106A44B282E74FC87146B0D6FC4E7B2BD6AB6B799F7F |
|
CONTENT
ssdeep
|
384:pnlTn3VH3VgD3VgDyQZs94K9jr9XQkm/Dzvrot+Uh0Vcw0:nxyeZsjvAdvA+dVcw0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5aada552a558 |
|
VISUAL
aHash
|
ffffe7e7fffcfcfc |
|
VISUAL
dHash
|
868c0e0c14090909 |
|
VISUAL
wHash
|
00c3030327243c3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
868c0e0c14090909,b323a8632321dd60 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.