Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FE2B93270107B3B419783C9F362F71AA5E38249EA860415A1FD83BD1BE3D95EE37526 |
|
CONTENT
ssdeep
|
384:kSky5NGOK0tkcJ+OHRda+lys6cT2nnCEmsZQA56IYsOy2+y9BH4cCUIe:kSky5NGOn/Vn6vB87sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed0ec3a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d08cccc2caccec00 |
|
VISUAL
wHash
|
0064fe702024ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,d08cccc2c2c8ccec |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)