Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0A3DD27422935274437C2C1346A5B7BD1A6998FFAE60A014EDCCBF72BF9C90742B25D |
|
CONTENT
ssdeep
|
768:nQ7vKtpR4nXF6YjOpSpFlTC6rrWe+mpG2fD3ia7hN9xA2:nQGtpR4nXBKpSpFl26vx+mpG273R7ha2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d13d30f6d0d |
|
VISUAL
aHash
|
000f073e7e0f01f7 |
|
VISUAL
dHash
|
dcbd7cdcdcdcb70f |
|
VISUAL
wHash
|
000f037f7f0f01f7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fc3fdcdcdc9df707,dcbd7ddcdcdcb367,d44b49d26d4d6d32,472105170e3c3424,d8100c3232080001 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.