Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA6284A131140AAB1237C5CCFD60AF497082F24BC617679965FE12921FCBD6BFE79422 |
|
CONTENT
ssdeep
|
384:c+BvFw9DeGSty8m6LDzCmn2jHaVdn1h6p:LL8DeGSty8m6PzCmn2jHaV9H6p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03393c7c6cccc6c |
|
VISUAL
aHash
|
c7c7c3cfc3c3c3f7 |
|
VISUAL
dHash
|
9e1e9e0e96169606 |
|
VISUAL
wHash
|
03c7c3c7c3c3c3c3 |
|
VISUAL
colorHash
|
07200000080 |
|
VISUAL
cropResistant
|
9e1e9e0e96169606,0834b4b2b0b43408 |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.