Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C95A022C3A2151BE67788DDF4ABA76227843689A2450FF477ADC7767CCE03234356C9 |
|
CONTENT
ssdeep
|
6144:vDqLUiKugVo7qAhxnJ7veoO88j2VkOXL0nPEPPEq:rqh0X2vXL0nPEPPEq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f58a319ba8758a66 |
|
VISUAL
aHash
|
c3c3c3c3ffe7c3c3 |
|
VISUAL
dHash
|
9e8e96968e8e9696 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000030200 |
|
VISUAL
cropResistant
|
9e8e96968e8e9696,b6b292b2f1b1b0b1,2121252323230303,d0f0dcdcb4d0f2f2,918956d2cbabe433,32ccd4d4d4cc3325 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.