Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4C19313434083794C08439C6BE56C143292EDDBF5B0B2F4B6EF6556E98C8F1989E6EB |
|
CONTENT
ssdeep
|
96:npk7MOqqWMM+cAvNamw1owtsUXybnCoEpUWwolsE2EwB6A2i69:vO8+JvNauhEpRsE2aAFa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1bc3663c39344e |
|
VISUAL
aHash
|
7fffcfc3c3d3ffff |
|
VISUAL
dHash
|
90009c1e3606000c |
|
VISUAL
wHash
|
00ffc7c381e3ff00 |
|
VISUAL
colorHash
|
070000000d8 |
|
VISUAL
cropResistant
|
90009c1e3606000c,6bcbd99bf3b78881 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)