Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE142914404641B111A41CA6693AB4B34C3E381CF7618516ADD83BF6AEFAF4ACBF3D6 |
|
CONTENT
ssdeep
|
96:T84a5s0gnfsJsghi8Fj3LM3tOiu8FduzFV38yC378F2z3N77ioLQZx0a8bd:62o7h3NbUlbTUCJ3oQz3NXN2e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0303947cf4f674c |
|
VISUAL
aHash
|
00c3c3ffe7e7ffff |
|
VISUAL
dHash
|
0e1e8e1e0c4d0004 |
|
VISUAL
wHash
|
00c3c0c000040000 |
|
VISUAL
colorHash
|
060000081c0 |
|
VISUAL
cropResistant
|
0e1e8e1e0c4d0004,0000804040404040 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.