Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1817374F1887976BF6692F6C16250EF5ED7934289CE130ECF42FA82D4C741EA1AD2105B |
|
CONTENT
ssdeep
|
1536:CDqFsK+TqKvnvIGxEC35fJ76HLjf83wF+gL8oHlS1YKc6s:2Qt8LvQkzpx76HLjf83wF+gL8oHlS1Y3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d278ed073094c5cf |
|
VISUAL
aHash
|
0081fe46043c7fff |
|
VISUAL
dHash
|
1911208cecf0f0f2 |
|
VISUAL
wHash
|
0081fe46043c7fff |
|
VISUAL
colorHash
|
07080000600 |
|
VISUAL
cropResistant
|
1911ac8cecf0f0f2,0931191919373363,d880000013021b6a,60acba6aebf9aaaa,6f2f4d0c060dcfc6 |
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 624 techniques to evade detection by security scanners and make reverse engineering more difficult.