Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDD371D56618438CA047DA6CEF2FFE05131FB5AABA548580298EC26CD6CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:JI0RQ7HAICfE+D79FsR8MLqc2WFsR8MLqcMv:C0RQ7HrID7oAm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc4c4cecdc5ccc4e |
|
VISUAL
aHash
|
00000008ffff0000 |
|
VISUAL
dHash
|
3068701000001010 |
|
VISUAL
wHash
|
000000ffffffff00 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0000000000000000,3230082020283010,0000000810301000 |
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.