Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E338F70A1A4AA3B11C3C3D0ABB46F5F63E8C25ADA13071A97F8C36D1ED3D91DC26558 |
|
CONTENT
ssdeep
|
384:uKFRv+gJBBW6pN4OM75I1m7cnkAdXKJ6VzPed63BnEWH8VCYWTAX1V2S4Xl4WQkM:9zp0cPjRZH8IcV2b4W3NeM8bZ2kDMKX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6992966c99914d |
|
VISUAL
aHash
|
fff1f9d1d1e7ffff |
|
VISUAL
dHash
|
29233323270f2303 |
|
VISUAL
wHash
|
fdf1c191d181c3a5 |
|
VISUAL
colorHash
|
07400010040 |
|
VISUAL
cropResistant
|
29233323270f2303,e9f1c5c342bb9d6d |
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)