Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193154733421935260537C6D430A99B37D2A6DE5FFAE70A010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:ispsWLqsF83Q6YSZyjIF2IyGJXqT6kCh+ReEGG2TqGoqPkUO+:0N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a35cbca3d3327c09 |
|
VISUAL
aHash
|
ffff0024706303f1 |
|
VISUAL
dHash
|
c93be7c9cacfcf03 |
|
VISUAL
wHash
|
34ff0064706327fb |
|
VISUAL
colorHash
|
02002400200 |
|
VISUAL
cropResistant
|
63dfe9c9cacfcf03,0022c9c922c9c936,f03d3ababcb5b823,1643436363733366,000024b2b2240000,1b59d919090d5959 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)