Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F826132A20568631297DAD4F371976F3283C349CB430B96B3E8979D5FCACA5ED61348 |
|
CONTENT
ssdeep
|
384:2wpFtVfKYAf+mkzViVi/PpUAP2UMO+eH99hGbzSG+txJ+uSEFRALSx7qCUoC5hjW:PtxNAf+mkR2GRleVO+eH99hGbzSG+bJz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73070346dcecd96 |
|
VISUAL
aHash
|
00003c3c3c3c3c38 |
|
VISUAL
dHash
|
cecce0e0e0e0e0e0 |
|
VISUAL
wHash
|
00423e3e7e3c7e78 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
cecce0e0e0e0e0e0,432c8c9d8c8c4d57 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)