Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F61E00120417AA7C963A94ABE915B18123352C5EEDFD1CD2BE98F4917F3EBC4C1E9C9 |
|
CONTENT
ssdeep
|
48:bgazJg0oW3w2A86XADRAMZNw8Yw83Dx8YOX2HEXNnX2:tJgzm2uRAMZNiJvF8G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc663333999933 |
|
VISUAL
aHash
|
0030181800180000 |
|
VISUAL
dHash
|
002432320c100000 |
|
VISUAL
wHash
|
3f3f3f3f00000000 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
002432320c100000 |
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)