Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDE35431C6A50327D215478AE7DB3B5662DBD2C7CD527CA4F2A08139CBBEC482C76DA1 |
|
CONTENT
ssdeep
|
3072:SlSpKJKrjylK2E6IOZuagKI3ImJS20QIYLQICeIkPksuGIyIhuBnvgG:Y+KJIQ5IZf3N8G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e816a5b0c88f7733 |
|
VISUAL
aHash
|
ff00008040cefffb |
|
VISUAL
dHash
|
ae317331919c3212 |
|
VISUAL
wHash
|
ff00808040cffffb |
|
VISUAL
colorHash
|
0e401008040 |
|
VISUAL
cropResistant
|
d0222f4b106a91b1,a636723869f4f251,7131b1909c021332,0082949494949200,b1717131b1b1949d,f0fbf7f37ccff9fe,9f8d0d8c8f232264 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)