Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAD27431B1102B3B51A7C3C97751E71EA2E3928DEB85084993FD836D4BD7E50EE2351A |
|
CONTENT
ssdeep
|
768:NSzy5NAUdJ4HWFMWPYMzuecyR7sOy2+y9BH4cLIe:LdJJgMzZH7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f53a9c1c8ce1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
cccbc3e8cdc98b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,8ccdc3e2c8cdc90b |
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.