Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123610D50C3416F0F5658A5E4E772BB696B4102C793520E94E7E8932BBC9C0A6D9373DC |
|
CONTENT
ssdeep
|
96:Vl+QNltabmtItEtwMaTuvTRFXvOocYW1th6txwZwd8RDOp9cP:Vl+Wl4K2aafTkRFXvOorcH6cRRDOp9i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2daad6798472598 |
|
VISUAL
aHash
|
7cfcfcfcfce0e0ff |
|
VISUAL
dHash
|
f9c9e9e1c9c8ca20 |
|
VISUAL
wHash
|
3c7c3c7c606060ff |
|
VISUAL
colorHash
|
07400038000 |
|
VISUAL
cropResistant
|
f9c9e9e1c9c8ca20,bfb0b3b39d9f9eb6,1252121212420c00 |
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)