Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181D371717D42A825609F52DF9227260E61E0C3C8C61362D8F9F4C3786BF6CA4FFA2195 |
|
CONTENT
ssdeep
|
1536:VuNE+IPmmYgzSyLTSNEXpOAcIBncNgJ469jlfzS/0Js7x6JPIPmmqgzSyzTo5yXr:vQoL+Dlg5mkPhAW1LPyqmk+Fj7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1d797c18649e12f |
|
VISUAL
aHash
|
7e3c4040706000fd |
|
VISUAL
dHash
|
e0d88880c4911309 |
|
VISUAL
wHash
|
fe6c60c0f0e088ff |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
808091c1c1990090,c0a2a212368692c2,0000000000000000,e0d88880c4911329 |
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 779 techniques to evade detection by security scanners and make reverse engineering more difficult.