Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12452A73301060F6B8203A3D8DF9AB51660D34099F7F4609CE3E984A89DE5CEB4D7C5AE |
|
CONTENT
ssdeep
|
192:qnSSn0FGDTi6zGnx4vg4lRRn4ajmp4016q8dm8+4sTl45T:Z4y69XPR4K0gXptK25 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc19b319cc |
|
VISUAL
aHash
|
ffe7efefffffff00 |
|
VISUAL
dHash
|
0c0c4c5a00100033 |
|
VISUAL
wHash
|
2c24242c3333bf00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0c0c0c5a00080023,0008301230081000 |
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.