Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14922DAB232B01965A03B4BF599713A574A8AB2858FC226DDF05C5330FBF6D3A74C99C4 |
|
CONTENT
ssdeep
|
192:DYpU7Wv/OboBfMNq4lET9aOZw0bkjhNGu:cpU7OuoRMg4h0bkjD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f165657161713939 |
|
VISUAL
aHash
|
c3e3c7e7cfcfffff |
|
VISUAL
dHash
|
96461c1e1c100010 |
|
VISUAL
wHash
|
03030303c0c0f0f0 |
|
VISUAL
colorHash
|
07000600018 |
|
VISUAL
cropResistant
|
96461c1e1c100010,b29265252465cada |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.