Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B81841BE53920BE0B0602F6BD54369FE3CA494EF3518DC1F4E2927A63749D542327E9 |
|
CONTENT
ssdeep
|
96:+z4XKPsw/eUi0uSR0at0q0exQgB4QgBtCOF3swXZhON1r:+fPswG94htXLxR4R0OXON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa22bd2cd0d42f3d |
|
VISUAL
aHash
|
0001017d0001ffff |
|
VISUAL
dHash
|
9599d9d995bd1c5f |
|
VISUAL
wHash
|
0101017f011fffff |
|
VISUAL
colorHash
|
020020001c0 |
|
VISUAL
cropResistant
|
9599d9d995bd1c5f,ba8092cdcd9280d8,9e8abac9c8dc9bbc |
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.