Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148430C306402993B42D7A9C59236172AA3F18345CA130A48FAF9D7FA5FDFD68CE37161 |
|
CONTENT
ssdeep
|
768:B+/sIx/jbgEAs6z5wkxW6+qZzFq1As6s6rcgFYUf7x:0/sIxfgTXH+qZzFqaXXrrFn7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6691db49593426 |
|
VISUAL
aHash
|
fdf781d1b1b1fdff |
|
VISUAL
dHash
|
7165252767659904 |
|
VISUAL
wHash
|
bdf1808030b0f9ff |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
7165252767659904,5d5c74323a302a8f,814193195ddccc2d |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.