Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEC2A530B0507A3B40CBD7D8B3A1E72E62D76249C9530A4643FE936D4BE7D80EE6741A |
|
CONTENT
ssdeep
|
768:ZF1Yy5N46k5nIltReGtJTcIyOSTxvBwNF7sBLy2+y9l0K4/1Ie:Jk5IT8kQ0F7sBLy2+UuK4/1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f90ecc2cc1a1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1808d8c0c84ccf00 |
|
VISUAL
wHash
|
00ece0303c24ffff |
|
VISUAL
colorHash
|
31e00008000 |
|
VISUAL
cropResistant
|
0280c8024c888000,9c08c8c0e0c8ccef |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.