Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1908173774901CD09174096E26FB6F548E3E28359D2812CA0E1DC573E4FDAFB4DA2B724 |
|
CONTENT
ssdeep
|
96:T6DClqmnlGgqHibSnlGY8nlGEdnbOyncLuqzgk:tnQgqHISnQY8nQSn8Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e672191d6dd019e3 |
|
VISUAL
aHash
|
00a4f5f4f100fcfe |
|
VISUAL
dHash
|
d26dcde56530c4d4 |
|
VISUAL
wHash
|
00a5f5f4f5007cfc |
|
VISUAL
colorHash
|
03000038200 |
|
VISUAL
cropResistant
|
09090909090989d8,6d6dcdc5eda5c564,35b458d0c4d4d4d1,89f8d4dcd49c9ad8,92759d8dcd752d81,bf3e0cc88d4c0f89,42042b3b22a29292,000012d4cc13c429 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)