Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0C19D30E425066F022B8ED4F6A6FFD969DBD78DCA0D540082BA43D50FDBDF5A96C422 |
|
CONTENT
ssdeep
|
96:6u69JbKvNjDFzp11ulErdqTSTxUYBmSSTBBrDST8K:M9M1l84d7trB0lB6p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b388ce399966cc93 |
|
VISUAL
aHash
|
ffffe7c3c3c3e7e7 |
|
VISUAL
dHash
|
0c004d4d96164d0c |
|
VISUAL
wHash
|
00ffe7c303030307 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0c004d4d96164d0c,23d0b02969e8f43b,1771f0a8e8e07117 |
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 1006 techniques to evade detection by security scanners and make reverse engineering more difficult.