Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199335C726731B9A883DF52EEE7382E49B2C6499DECCB4550F1C9568D13C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:ag+EsZ/82EDVRLMjBeRRMjBLrpRXPZlQaQD9OehM+BrUgq4FJ:aZ+RfRqrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3bc46e956dc090 |
|
VISUAL
aHash
|
81818b8b898181ff |
|
VISUAL
dHash
|
25595b5b59495900 |
|
VISUAL
wHash
|
818b8b8b8f8183ff |
|
VISUAL
colorHash
|
1bc00600000 |
|
VISUAL
cropResistant
|
25595b5b59495900,fef9e9e1e0e6e4e9,7430383c3cbc9cad,259a9a9a9adaca1b |
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)