Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3C381D55618438CA147CA7CEF2FFE05131FB5AABA588980298EC268D5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:Ek0RQ7H0ICfOiDSVdFsR8MLqc2FFsR8MLqcMv:n0RQ7H3ODS+dm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b323e6a2339919 |
|
VISUAL
aHash
|
efffffffffff0000 |
|
VISUAL
dHash
|
0c0c140c08001010 |
|
VISUAL
wHash
|
20200000f0f00000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0c0c0c140c080000,fcfcece969ececfc,0000100c10101008 |
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.
Pages with identical visual appearance (based on perceptual hash)