Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DA30C23425A752B4437C3D130795B3BE2A6999FFAE70A010EDCCBF72AF9C90741A519 |
|
CONTENT
ssdeep
|
1536:1EStpR4nXBKpSpFl26vlSZopusc5Zl/IHCOX:JUMguZ5Zl4COX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93076d0353177f0d |
|
VISUAL
aHash
|
001f0f2e6f0f01c7 |
|
VISUAL
dHash
|
dcbf38dcdcf8b70f |
|
VISUAL
wHash
|
000f0f3f7f0f01e7 |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb77cdcdcb9f70f,d8bf39dcdcdcbb77,88535393251bc9c8,4e8f81c5a7a68eca,68000432320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)