Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E23131F0212166BF5283DEB4F3F23B7568BA8B12DC67F564E1D881291FD6C11E908671 |
|
CONTENT
ssdeep
|
24:hh0kP0Zh/hqe+tTsFqMxMuY86LGuOsduwXNENfGuOsdHHteGn4SFw+iuGgcm:UZhqjb5GbMa9G0f4SFw+JGgcm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3333cccc9933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
304cb2b2b2b24c30 |
|
VISUAL
wHash
|
0000181818180000 |
|
VISUAL
colorHash
|
38000008180 |
|
VISUAL
cropResistant
|
9606213100713110,304cb2b2b2b24c30 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)