Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3A120B792DCD4A21760D6D0F771AB2AC683048DDE5226C2E9B505DF14CCEA6C807F8A |
|
CONTENT
ssdeep
|
48:epDsFnkPnlCclWYdmEeiqGfIgNJOD6C8b9uYparTyDtVQzb1xd52B5DQCyQDaF2a:sllWmg62maW3DQCnjm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c38eb8e3673809c7 |
|
VISUAL
aHash
|
ff3c3c203c3c0c44 |
|
VISUAL
dHash
|
4979e8c8c8d8dcdc |
|
VISUAL
wHash
|
ff3c3c3c3c3c0c24 |
|
VISUAL
colorHash
|
39e00048000 |
|
VISUAL
cropResistant
|
93290b5b0f2337a5,4979e8c8c8d8dcdc |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.