Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149A2DF72A11B243B623FCAC2A5BA236A30E3425EE9471020CAFD43BD47EFD95F917455 |
|
CONTENT
ssdeep
|
384:MIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIO:MIIIQIIIQIIIQIIIQIIIQIIIQIIIQIIu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c2e76d3932b298 |
|
VISUAL
aHash
|
78787c001838383c |
|
VISUAL
dHash
|
d0e4cdecb2606040 |
|
VISUAL
wHash
|
f8fc7e3018383c3c |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
d0e4cdecb2606040 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.