Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110937331D251B83700A3F2D595754FAB32E1D348CA43068EA7F89369DBCEDB1ED22598 |
|
CONTENT
ssdeep
|
1536:g7OXKZAc14Q7XZd6I1eQVVHV1HHIibH1dUyOarUY04F:g7OXKZAc14Q7XZ5V11nIibH1dUyOa4G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dfe77224b824b321 |
|
VISUAL
aHash
|
b8bcbcb898181818 |
|
VISUAL
dHash
|
6070527272727271 |
|
VISUAL
wHash
|
bcbcbcb8ba38181c |
|
VISUAL
colorHash
|
16c40008000 |
|
VISUAL
cropResistant
|
19313e68b8362669,200042e40400f1d9,15128bc965b2d3e4,6070527272727271 |
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 99 techniques to evade detection by security scanners and make reverse engineering more difficult.