Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF518EE3A3000C446A2793F04B82F0448A59F25BD3D46CD1F6DE64BB65F9EF8E16B658 |
|
CONTENT
ssdeep
|
48:T0FWpIbbzjxfaPFxfbLtlPp4RZrxfaz6h:T9pIxwYD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e169cbcb698acb60 |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
4396969696002e0e |
|
VISUAL
wHash
|
d381818181ffc7e7 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
4396969696002e0e,2b655b497133512b |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)