Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEE2D73271103A37419793D9F7A1FB5AA2A79249E787000592FD83ED0BE3D54CB37926 |
|
CONTENT
ssdeep
|
768:7Sky5NlXqZMs9D14N4QG7sOy2+y9BH4cLIe:wu99Dn17sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc38ad43c6ce |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
c488cccac2ccdc00 |
|
VISUAL
wHash
|
0064fc707004ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
e40080025cd88000,c498c8c2cac0ccdc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.