Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7939D27412979274437C2C1347A5B3BD1E69A9FFAE70A010EDCCBFA2AF9C90741B519 |
|
CONTENT
ssdeep
|
768:YP2CtpR4nXF6YjOpSpFlTC6rr7z3EP51Xj7LYlp07ytj:YPrtpR4nXBKpSpFl26vX65F3F7ytj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e13e3ac1e4c62d |
|
VISUAL
aHash
|
fce8f0f048040038 |
|
VISUAL
dHash
|
8010e7c3d02d22e8 |
|
VISUAL
wHash
|
fcf8f0f8fc84003c |
|
VISUAL
colorHash
|
30001000180 |
|
VISUAL
cropResistant
|
8010e7c3d02d22e8 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.