Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3E2513250449B7F11A781C6B7B4BF1EE2DAE249CA971A5663F8C31D07CBE90CE31961 |
|
CONTENT
ssdeep
|
384:0AyumVrUzO+IStcwPcxTVfWt1q5iAF/Ifl68NGvXn+ZN/g8q+q:0AHmJ+IKiZfM1zisQ8/e+q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80227fc9d7d414b7 |
|
VISUAL
aHash
|
0101073f7f5fffff |
|
VISUAL
dHash
|
e3c3cfddf8b33809 |
|
VISUAL
wHash
|
0001071f1f1fff8f |
|
VISUAL
colorHash
|
07000c00000 |
|
VISUAL
cropResistant
|
c3c7ceddf8b33c09,0008046870702004,fffffffffbfb7bf9,0009051d3533321a |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.