Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135125F23E600DD2A8E9B56CCF1C09588411DC386FB3188CAB1A491FF7BC5DF069A979D |
|
CONTENT
ssdeep
|
192:pBd3Jwd2cqOxI89xi4McnthWeNWbnfMmUU8VCoOV:g2cC3fMmUFCoOV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed249333646c9b33 |
|
VISUAL
aHash
|
c3c3fbc3c3dbc3ff |
|
VISUAL
dHash
|
0f2b23270f3b3306 |
|
VISUAL
wHash
|
8383c3d3838383ff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
0f2b23270f3b3306 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.