Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FC152E1C018CD3747128AD5B7F96B1BB692C319CB02198457FC83ABA7CEC60CB11689 |
|
CONTENT
ssdeep
|
96:Tkx4mgzdaIfSThhtmMTLhjwvFpeBXkHFMKenFXuX/JI8CrJ:Qx4mgzdajdhYMnhRSoYXRC1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8fe0a0dcf48ed6c8 |
|
VISUAL
aHash
|
ff013c3c3c3c1d01 |
|
VISUAL
dHash
|
ffff6868686869ff |
|
VISUAL
wHash
|
ff033e3c3c3c1d01 |
|
VISUAL
colorHash
|
02000400030 |
|
VISUAL
cropResistant
|
0affff6868686868,d69696cae2cefaba,969f9f9fffffffff,df6968686868f9ff |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.