Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D1220E1D450DE3B0B1181C5EBB1AF4EB691C349C7074941A3E893ABEBDACB0CE12589 |
|
CONTENT
ssdeep
|
192:QWwz8FfhJMNddIMXa4IMaYynBHzbsYSIM4AkIM38A:Qv6JOd+MXa1MaYuCYfMtRM31 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5659a64ca9a9b92 |
|
VISUAL
aHash
|
c3c3ffffc3c3ffff |
|
VISUAL
dHash
|
9696000296960006 |
|
VISUAL
wHash
|
00c3270303033f3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
9696000296960006,0018303030080000,0008303248400000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.