Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEF1C831E2A02A7B40CA878543657B2532C7909AE227E7CC97F3D7559EC6DF1CC94874 |
|
CONTENT
ssdeep
|
192:LSHdsEsBaUujanub4eJBFt3urApyi20aRoB:LnEHUujanu8eJBb/JioB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc1d334719674d1d |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
d42d34e4b0e04410 |
|
VISUAL
wHash
|
009edefe5e707c04 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
d42d34e4b0e04410 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.