Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15202EBF1D055ED3B475282D9E7B96B4B7291C349CF03068593F883ABABDAC60CF21199 |
|
CONTENT
ssdeep
|
96:TkpnbzD71tkzft8v67McddtRlGwvFEeWXsHFaXoWXuX/YMytL6bt0EqIR:QpnbzD71Uft8iIGdzlPfLX7yJkOEqm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec139b6c66c32c93 |
|
VISUAL
aHash
|
ffdfd3f3d3d3ffff |
|
VISUAL
dHash
|
0490162626261014 |
|
VISUAL
wHash
|
e7cfc3c30303033f |
|
VISUAL
colorHash
|
070000000b8 |
|
VISUAL
cropResistant
|
0490162626261014 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.