Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD932AB43A59F5665AB3439710AF1103B379162F540E4C206350ECAEB6BCC9FA067FDA |
|
CONTENT
ssdeep
|
1536:Z3/mNwlmEfSyXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:ZJXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d9292926d6d82 |
|
VISUAL
aHash
|
fff39191ffffffff |
|
VISUAL
dHash
|
2cc733334d030821 |
|
VISUAL
wHash
|
83818181b1f1ffbd |
|
VISUAL
colorHash
|
07008000082 |
|
VISUAL
cropResistant
|
2cc733334d030821,0b8b2616a1c4c049 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)