Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBE144E1C454DD37032286D5F7F56B5FB692C349CF02098493F852ABABDAC60CB12A99 |
|
CONTENT
ssdeep
|
96:TkZXCXZl7moh4lzH0XfeG9Edt7z+9awvFLeZXxHF8eBXtz/ht7zt9QoR:Q5gn7moh4lzH0X19Edx+cbBfzpxt9QG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc8e6d3193316547 |
|
VISUAL
aHash
|
00dbffffffc3c3c3 |
|
VISUAL
dHash
|
332b2b300e171717 |
|
VISUAL
wHash
|
0081dbffffc38181 |
|
VISUAL
colorHash
|
07180003000 |
|
VISUAL
cropResistant
|
2b2b2b100f171717,31314f4d054d4aaa,0000020404040200,0000000000000000,0000000000000000,e4e46d6c1023ccc4 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.