Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DB920BB2204028373217C2DDE996BB093295F2B9FB4A160195E873BD17FCDA0E93D671 |
|
CONTENT
ssdeep
|
384:NSsVAwN+SaC44MdTu73HmX1sCQg81JYpeRDbwM+9X2vVRR9tUvCYJkBLsMM5w:0sVAwN+SaC44MkUCwMOmZzUvCYKHMK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddf266c898f72288 |
|
VISUAL
aHash
|
8000001818000000 |
|
VISUAL
dHash
|
50544c32b24a5255 |
|
VISUAL
wHash
|
ffa500bf3c98b700 |
|
VISUAL
colorHash
|
38006200000 |
|
VISUAL
cropResistant
|
820184dcdc204182,50544c32b24a5255 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)