Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A13A631A092297F121789F9F520AB4AA2F7D30ECF739C49A3FDE7C917D1C518962189 |
|
CONTENT
ssdeep
|
384:8o0v1+7Z99GvGiP33abSWLuiHEilax0vpoinfIuGeT/gaAeLtjD:8o0v1+7Lt+3fguiLF5seT/gazLFD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16226c13e1f9d3e |
|
VISUAL
aHash
|
70620c00787e7800 |
|
VISUAL
dHash
|
c4c49c98d2f0f22d |
|
VISUAL
wHash
|
72767e58787e7800 |
|
VISUAL
colorHash
|
38002008048 |
|
VISUAL
cropResistant
|
ffffd79f9fffffff,ffffa7bfbfdfffff,c4c49c98d2f0f22d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)