Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BF143E2C41CDE2703168AE5B7F17B0BB252C749EB06089067F483AAA7DEC50CB5995D |
|
CONTENT
ssdeep
|
192:Qc/XRpzzzzzzzzzbnz8B/aMpNenGrEg8C7zNb:Qc/BpzzzzzzzzzbzIaMpNensEgldb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ce1e189c1c9c9 |
|
VISUAL
aHash
|
8706960683ffffff |
|
VISUAL
dHash
|
3e2c343c3f639400 |
|
VISUAL
wHash
|
8304060600ffffff |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
3e2c343c3f639400,ab1a5499181aced8,3731393d79fdb9fb |
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.