Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF9276B03154267544D38EB6B361BFAAE2DD9348D863811AF2E8C3661BC9C67DF017D4 |
|
CONTENT
ssdeep
|
384:cYZvksa4/r8Mn+ar/dr2Sx+ff2nYJf5JtgPlhPwOBR:TZvksL/vNLJMf5JtgPLPwC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936c64c99392eb |
|
VISUAL
aHash
|
67007c7c0c066000 |
|
VISUAL
dHash
|
d6c8d9d9d8c4cc01 |
|
VISUAL
wHash
|
ff007c7c3c266698 |
|
VISUAL
colorHash
|
30000000e00 |
|
VISUAL
cropResistant
|
0004201e8e8e0e30,8d93aecccd96b2b2,4c4c7331baaa4d4d,58582ca62424d3d3,d6c9d9d9d8c4cc11 |
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)