Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7D2A932A100363B519BD3CDB723B31EA3A79249D6560916E2FD839D4BD3D54DE3312A |
|
CONTENT
ssdeep
|
768:+FScy5NjraVvlz2mSmre8FvRsB+I7fu5+q3rVKIc5Y08my7sOy2+y9BH4c1Ie:+aaVvlz2mJr/FvRI72+q3ZLc5Y08my7X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b41add29d1c9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1cccc6c0e0cdc100 |
|
VISUAL
wHash
|
00e7f0303024ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
008080024c888000,948cc6c2e0c0cdc1 |
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.