Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F223C73104C86B2B52C352C99350EE4BE3D68145F27AC64EF2D6832F96C5D99C877BAC |
|
CONTENT
ssdeep
|
768:+Qs0OPA0EIzBzgQmpKJoUmzhBp1jPNPkWaGSpucW/C9qVKFcZzwHCnxBP/0cBUpn:+QrOPFEskNKSUsBvjPNPPQiC9qsFMUHj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
916ab8b1eee99491 |
|
VISUAL
aHash
|
ff0000006e6e4e4e |
|
VISUAL
dHash
|
71d4ccf0dcdc9cdc |
|
VISUAL
wHash
|
ff0030007e7e4e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001416343690006,d28fcbcb8e8ec694,84c4c0b4a00e1c88,53c08390e0301cc6,5c4ea36064585a31,34d4d0f4dcdc9cdc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.