Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA431BF93949B5121B6291D3A0AF3A4BB33A286F740C59B07160CED974F84D9507BF8E |
|
CONTENT
ssdeep
|
768:ZyWuPWLyuB/5sL/H/XT5K9QzRFCtR58n+DcNwG11SLxsX8Up91UuvnAYfSxHyOz6:evnAYGyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9fd6d0c233f00f8c |
|
VISUAL
aHash
|
fcfe1f071f3fff0f |
|
VISUAL
dHash
|
cce07b0c78708070 |
|
VISUAL
wHash
|
7cfe1f070f1f0e00 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
cce07b0c78708070,454523d8c4e65145 |
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 469 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)