Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC811E231104140A7F23439CBA91F56ED193FA4ADF95898044EE93AD8AE8FF1D477266 |
|
CONTENT
ssdeep
|
48:PWP3AAuGQpup7RpLKT0TU4Oz4BaHT7IfINsuKc4A/KLkP:U1/guE4RM7IfINscCLkP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc33338c669b99cc |
|
VISUAL
aHash
|
0000181818181818 |
|
VISUAL
dHash
|
0000303030303030 |
|
VISUAL
wHash
|
00003c3c3c3c3c3c |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
0000303030303030 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.