Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDC310234249352B4073C3D525A99B3BD1E6DD4FEAE709414EDCC3F626FACA0B81B169 |
|
CONTENT
ssdeep
|
1536:2A+9tMbXlOJi55R+Ove0/zSkrqCMe526UN6P76Q967+6rc7T+8xm/r8vPvz:KMwI+UqCH526UN6P76Q967+6rXG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92dc7de7c1c4c318 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
4833fcc4cccc3333 |
|
VISUAL
wHash
|
a4807e7e7e7f0181 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
4833fcc4cccc3333,9e1626726c683535,1f1f1f4f0b070787,6d56950908400001,100545153515d555,a6f5354fc5656989 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)