Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E08333617E423236366F11CF811B670D22C2F7CDDA666AE591F492B0D7FACA07AE1244 |
|
CONTENT
ssdeep
|
1536:us4Ys4TGnGQGnGpT4dTfGTmfz/HLmgW3g9rzVy:Q4t+TGz/aD3g9rzVy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa505041537bd17b |
|
VISUAL
aHash
|
0081ffffe7ff81ff |
|
VISUAL
dHash
|
9423330f4d173317 |
|
VISUAL
wHash
|
0000c3ffe7c381ff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
2323330f0f173317,2493949494949124 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)