Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132432F309410E93302CB90C5A236975A62F5D341CE130A99FAF493ED1BEFDA8EE73651 |
|
CONTENT
ssdeep
|
1536:wQeGjCOjlnWDeeefeeePeeeleee6ixp0oMdpvhsIxYfpT74F:wJCoMdpJ0fpT7y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2057c1393c5ed34 |
|
VISUAL
aHash
|
c080f2ecece4c0c0 |
|
VISUAL
dHash
|
0206c6c8c80c8c01 |
|
VISUAL
wHash
|
c0c0f2feecf4e4c0 |
|
VISUAL
colorHash
|
38000000016 |
|
VISUAL
cropResistant
|
0028cab39e4e6542,958dab1356563727,d2dac6c6d09c5884,0206c6c8c80c8c01 |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.