Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E814230D0109C2BA242D184A5F1EA477286938793061E1877F4663EFACEFA8CC655DD |
|
CONTENT
ssdeep
|
48:ToeoKwu4tzOBTRImz4GyiThSEuUvmh6l7HxCAuIG+n:TopjtTEvhTuUdV7uIGS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c01d3332667c793b |
|
VISUAL
aHash
|
007e7e7e7e7e7e7e |
|
VISUAL
dHash
|
ccf0f0f0d4d4d4d4 |
|
VISUAL
wHash
|
003c7c7c3c7c7c3c |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
6979716145342416,ccf0f0f0d4d4d4d4 |
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)