Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3335D726731B8A883DF52EEE7382D49B2C6449DE8CB4554F1C996CD23C7C902297BB4 |
|
CONTENT
ssdeep
|
1536:aRT7bvq+EsZ/8YRdDVRcMjB/RFMjBcDrpRXPZlQaQD9OehM+BrUgq4z:aRXzfTRNRvDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc46a956dc094 |
|
VISUAL
aHash
|
81818b8b898181ff |
|
VISUAL
dHash
|
25595b5b59495900 |
|
VISUAL
wHash
|
818b8f8b8f8181ff |
|
VISUAL
colorHash
|
1bc00600000 |
|
VISUAL
cropResistant
|
25595b5b59495900,7430383c3cbc9c8d,fef9e9e1a0a6e4a9,259a9a9a9adaca1a |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)