Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116030C7091268C37DAB782D062B95F1B37D1CA89CA2302411BE8977D8FEFC94DC5C666 |
|
CONTENT
ssdeep
|
384:iASAmA/35NxkOTNNjUT5LAVSNnJejzXqPkle82MecFMlWesWeAGMdnqpBm3KTsyp:iASAmA/3XBik/Mvqpfms2Uf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df5652e962b2a906 |
|
VISUAL
aHash
|
0000ffffffff0000 |
|
VISUAL
dHash
|
0920741d33130c82 |
|
VISUAL
wHash
|
0000ffffffff0000 |
|
VISUAL
colorHash
|
0f203000080 |
|
VISUAL
cropResistant
|
1983919861584d33,b6aaa9a12524a4a2,e4340c640c13130c,4d492929183064d4,0100003030000001,029282848a000e0f |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.