Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197235B726332B4B843DBA1DEF7392A45B2D2998DE9C74694F5C5598D13C3C802193BB8 |
|
CONTENT
ssdeep
|
768:aa+EsZx8/G80kk49DawSMYBPow4MYBPBwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqS:aa+EsZ/80kf9DawSMYBQw4MYBpw0N2/S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e96c1c6bc95c968 |
|
VISUAL
aHash
|
ff3c588f813c3cdb |
|
VISUAL
dHash
|
69ccb2372f69d032 |
|
VISUAL
wHash
|
ff3c188f813c00bf |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
000c0c0069691959,b4a663adc585494b,2b2b55556957556b,b5a663adc5ad494b,2b2b55556957556b,68ccb23f2be8d032 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)