Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC0284E2D064DD364B1281C5B7F57B6F75A2C344CB020D8493F853BBA7CEDA0C6225A9 |
|
CONTENT
ssdeep
|
96:Tk2tGzHwLIST7KUEdt7OLwvFFQeZXmHFzeFXxX/FSTu13GAT43a:Q2tGzHwLB6UEdAagATXM61Z8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b4ae5a50d4ef087 |
|
VISUAL
aHash
|
0f0f0d0d0f0f0f0f |
|
VISUAL
dHash
|
5b595979f99a5b1a |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
0b400030040 |
|
VISUAL
cropResistant
|
0923e765e7d0e1a0,cbe9383c69d3ab66,f1d19934262698d8,28390a2c5edc0848,0081421213136380,3d2c6c2f37b766f0 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)