Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111E3F7F5A3F8A2E8E80BC7F8E672A476316B30FF7F56C65851981E94F66108D484DC81 |
|
CONTENT
ssdeep
|
1536:W8ANd8P8PcMr/MuwWzZ0ueE++6Pc/Xy8ksKhY6k/:/rd0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce4e647131339b93 |
|
VISUAL
aHash
|
00103c183cffffff |
|
VISUAL
dHash
|
5561717169717071 |
|
VISUAL
wHash
|
0010181838ffffff |
|
VISUAL
colorHash
|
03000c00018 |
|
VISUAL
cropResistant
|
6171716971717170,6910606171717169,4141013131010141 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)