Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0334B726731B8A883DF51EEEB382D49B2C6589DE8CB4550F5C9968D13C7C903287BB4 |
|
CONTENT
ssdeep
|
1536:af+EsZ/8VlDVRQMuBwRBMuBhDrpRXPZlQaQD9OehM+BrUgq4z:awwR/RdDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab4b56b1a0bf087 |
|
VISUAL
aHash
|
fffffd1898f8393d |
|
VISUAL
dHash
|
0907313979196969 |
|
VISUAL
wHash
|
fff9f9080808393d |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0907313979196969,2f5747575f3a0fc7,41453bd8c4e45945 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)