Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7D102E0D454DD37435386D9A7F56B0B7791C349CF021A4463F893AB5BCACA0CB22A9D |
|
CONTENT
ssdeep
|
96:TkCFIwHmiWSTNtL9VctwEHFk6XcHFhCXzHFDKXaX/J5R:QoIwHHRR94wEo0TXl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc4c4c4c4c7c6 |
|
VISUAL
aHash
|
0f0f0f0fffffffff |
|
VISUAL
dHash
|
5b5a5a5a00080000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
5b5a5a5a00080000,d99989cb48682525,6951d5d1a1395947 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.