Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1172275F0E0A4DE36475782D5B7B6B76B36F1C284CF010A5453F453AD1BCADA0CE21969 |
|
CONTENT
ssdeep
|
96:Tkj0zYEnLS66qWhUSP3MbSgji8v67Y/DCVQwvFqetrXBIHFd+e2mXpX/6jnyGATq:Qj0zYEnzcUZi8iOCVHYLh2GXenw8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c77698b8c7c690b8 |
|
VISUAL
aHash
|
ff00002000ffffff |
|
VISUAL
dHash
|
40c08242420200d0 |
|
VISUAL
wHash
|
fe00002000ffffff |
|
VISUAL
colorHash
|
03017000000 |
|
VISUAL
cropResistant
|
00494d0040404440,42424202420000d0,448480a2a2808060,a0a280b286a6a486,40c8820242424202 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)