Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2C382D55618038CA14BD97DEF2FFE05131FB1AABA548A80294EC26C96CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:WP0RQ7Hq7KfpYDw3lFsR8MLqcv2FsR8MLqcMv:Q0RQ7HoTDwAJm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6d939236496d34 |
|
VISUAL
aHash
|
fbffd38183f3ffff |
|
VISUAL
dHash
|
220a16272727000a |
|
VISUAL
wHash
|
81a3838181f1ffe7 |
|
VISUAL
colorHash
|
07000230000 |
|
VISUAL
cropResistant
|
220a16272727000a,0d4d4c0f2b170b6c,f2f8e2f6ece0eacd |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.