Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145A38A33421935270537C2D530A95B7BE2969E5FFAA70A010FECD7FB2BEAC90745A019 |
|
CONTENT
ssdeep
|
768:Lo3II501T1gheBb8xZ/DFTksPhwfj9IhIEBa4QuViLw6UzdW/t:KII5NeBbmZRTksPSRIhIEBa4QuoLT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3e44ed31bcc3831 |
|
VISUAL
aHash
|
00e7c3ffefffff00 |
|
VISUAL
dHash
|
e80c960c4e0e0068 |
|
VISUAL
wHash
|
00c3c3e7e7c3ff00 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
c80e960c4c0e2668,0000030303000200,0428093939092804 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.