Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D643FBE63855B1160B7340D3A0AF2B4AB339182FB91C55E0A174CFE571FC8A5606BF9B |
|
CONTENT
ssdeep
|
768:gyWuP/WbR1y5u/SLL8n+1zvCWfsQZ//uF9NDFbc5X8Uv4+cmr4FCg2P1ylSlSxHs:I+eyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e426939b8ccc9b93 |
|
VISUAL
aHash
|
ffc3c3d3c3cbc3d3 |
|
VISUAL
dHash
|
9686969696969696 |
|
VISUAL
wHash
|
c3c3c3c3c3cbc3c2 |
|
VISUAL
colorHash
|
0e000e00000 |
|
VISUAL
cropResistant
|
9686969696969696,36232121212121a1,737f751e18181898,7873583202040184,c0c4c2e2f4d8d4d4 |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)