Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D73647611426A3F109382D1971CE75ED3C2D60DCBA78A4AD7E8832B67C7DE0ED351A8 |
|
CONTENT
ssdeep
|
1536:2DY2eBODcaZ0R4IreTDyA0qLGfzjKn05l:xzvxLj35l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e042a6bc367cb4d6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cc983138c33230c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,222255558bab1656,b1a66295b1194b4b,38789d9c8c8c8d8f,050238272724070c,848fc9c98b23338f |
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.