Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F53ED72B112389B4837C6E0F5D96F68F18ED335E3146688E3A812497FCECE42957399 |
|
CONTENT
ssdeep
|
1536:qfNH0pymfvMjDvrmDYW5LfVz5LfVT4LfVAgLfVpMLfVeJTzhBeC3D:QpWUay |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da2f295a25b59594 |
|
VISUAL
aHash
|
0000fffffcfcfcff |
|
VISUAL
dHash
|
49510049898989a2 |
|
VISUAL
wHash
|
0000ffbffc7cfc00 |
|
VISUAL
colorHash
|
070010002c0 |
|
VISUAL
cropResistant
|
49510049898989a2,4a4e49594853d139 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.