Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121326333A600DD2D8DAB52CCF6C09689425ED345FB3148CAB16451BF7BC8DF069A93AD |
|
CONTENT
ssdeep
|
192:6LRMYc2cUchhdYLKcZKxbWMcnthWeNWbzKsI1VfMmUU8VCoUN:0c2cUchhdFTxKsI1VfMmUFCoq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6d246d85a56f255 |
|
VISUAL
aHash
|
feffffffffff0000 |
|
VISUAL
dHash
|
0c080c0c50006267 |
|
VISUAL
wHash
|
0004e7ffffff0000 |
|
VISUAL
colorHash
|
0e0010000d0 |
|
VISUAL
cropResistant
|
0c0c080c08000001,4545bbd0dcf01545,0f697246c6661d1f |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.