Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EF1FDF1D044ED3B435386D9E7BAAB0B7791C349CE07164553F883ABABCAC60CB12599 |
|
CONTENT
ssdeep
|
96:Tk0nfzD71tkz3t8v67McdwTtQLwvF5jeeHWXEHF/eRX5X/myts6fdzR:Q0nfzD71U3t8iIGwTK3i4XXuyead9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e4139b9b646798 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0826262620440000 |
|
VISUAL
wHash
|
fff3d3f3df000000 |
|
VISUAL
colorHash
|
07000400038 |
|
VISUAL
cropResistant
|
0026262626263044,c00c68724936da02,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.