Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C914CE234259792A4437C7C024AA9B3BD1A6DE8BFEA70A414FDCC7F72AF9C50741A11D |
|
CONTENT
ssdeep
|
1536:+/UgQmTa3MZo+Hd1+slHpwGg3mt6tMV7FaveTfd+Smfu4/ZT4oU5y/lHe3Me:+/OQZRpUiVHTffQxRa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6e9394989383e3 |
|
VISUAL
aHash
|
ffd1e181d1ffffff |
|
VISUAL
dHash
|
0b23032323671f19 |
|
VISUAL
wHash
|
e981c18181f3c3ff |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
0b23032323671f19,820080e068600082,8200803030700082,8200c03030700082,82c03030f0204082,a280a08c8c8c80aa,a2a2b2b2b2b28e8c,0029806479b3934e |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.