Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A63355721185AA2F004342E6D72CFA6ED3C5D70DCBA39E87A6F8C32751CADE4EE25154 |
|
CONTENT
ssdeep
|
768:USMlgAE0c8cb8grDMLQEXnYYkcgIQ73eMlgAE0c8cb8grDMLQEXnYYkcgIQ73t0K:q8c00pyeaWvU0vxTAa8C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b01c9698 |
|
VISUAL
aHash
|
fb839f9fdfffffff |
|
VISUAL
dHash
|
432b3434b054304d |
|
VISUAL
wHash
|
00001e1e5e1edfe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432b3434b054304d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)