Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE732AA43A1DF66659F3439710DF2103B378662B580E4D206210FDAEB6BCC9AA077FD5 |
|
CONTENT
ssdeep
|
768:D0uuD1lbfzR5zM2Of1PvWFbe3Nhh89a/nthBXRjaPuCdKG8f/HO6CT:ALbz01vWoNhh84/thBXRjaPndf8f/9u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce989399cc66c9 |
|
VISUAL
aHash
|
ffefc3c3e7c3c3c3 |
|
VISUAL
dHash
|
1096968e8e8e9e96 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06600010000 |
|
VISUAL
cropResistant
|
1096968e8e8e9e96,521a1a5b4958da13,e3e3e7ffffcfcf7f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)