Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153F1F0E1C014ED37436386D5E7B62B1B77D2C359CF02094493F893AB6BDEC90DA22999 |
|
CONTENT
ssdeep
|
96:TkfA1DtSTBEWhUSPRr8v6719FFYIel475XSLylJ1XALj/JJkz7mSTyR:QfA1DcVB8iDtUpHsz7Dk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9d91933b31918b3 |
|
VISUAL
aHash
|
bc3c3cffff000000 |
|
VISUAL
dHash
|
72b232320c200000 |
|
VISUAL
wHash
|
bd3d3effff000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
73b2327232333208,2420c00800000081,03000848098404a0,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.