Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA83E867535C11BF1E6307C45A04275FB2A6D08EE74612E5F1ADC16C23EAEA069B2BC3 |
|
CONTENT
ssdeep
|
1536:7VakVG1NDt+/WJfJj8NQYbQZ84yG9M+LgLGwvd:7QBu/WD8NQYbQZ8+Cd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec93c7c693964718 |
|
VISUAL
aHash
|
ffc3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
2633333333272717 |
|
VISUAL
wHash
|
bfc38183c3c3c3c3 |
|
VISUAL
colorHash
|
06e00200000 |
|
VISUAL
cropResistant
|
2633333333272717,98b094bc383c2460,dcd2f1aca0a04561,f868f0e0e0c2b693 |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.