Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AE12EF1E400ED37475389D4A7BA6B0BB390C746CE470941A7F483AB9BDAC60CF16599 |
|
CONTENT
ssdeep
|
192:QDHcHwHBngknzDJ1bcPHzt8iIGt0y5HZYyYMpHFPBzvqw:QD8QWkzNdQh1Zt005YLMplBqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7f3329c4c9c1899 |
|
VISUAL
aHash
|
ffe3e7fbfbffff00 |
|
VISUAL
dHash
|
2c4f4c0606080000 |
|
VISUAL
wHash
|
9fe303130b0f0f00 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
244e4e0606000000,fe1919494949239b,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.