Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1754231726502FC27027382CA5273771DE1E292C9D9E39902E2EE47A93BC5EE5FC03525 |
|
CONTENT
ssdeep
|
192:L3gTfNkEfekA/Oz07ORCXlFooB93Iuosa7o6t0:MTfNRtP0+WLzb3Do70s0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d6252db991efa409 |
|
VISUAL
aHash
|
0300b0fccece8000 |
|
VISUAL
dHash
|
36fc6629181c29c0 |
|
VISUAL
wHash
|
03070ffcfefee000 |
|
VISUAL
colorHash
|
38001008080 |
|
VISUAL
cropResistant
|
36fc6629181c29c0 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.