Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113A3EE234269752B4537C7C030A95B3BE1A6999FFAE70A005EDCC7F72BF9C90741A129 |
|
CONTENT
ssdeep
|
1536:oitpR4nXBKpSpFl26v10Zy5pixtbi+IRE:DUMAbizbiFE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93656d1313496d6d |
|
VISUAL
aHash
|
001f033f7f0f0187 |
|
VISUAL
dHash
|
ddbf36fcdc9cb33f |
|
VISUAL
wHash
|
000f033f7f0f159f |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd277cfcdcb8b337,dcbd77fcdc9cbb77,536b996363cc5515,4e8f9149434e4a5a,94330d3333051121 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)