Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15791A72051040D2F110A2ADDE922AE6BE0C5C215D7175FDEF67C8BBB6DE9F4044BB9D8 |
|
CONTENT
ssdeep
|
96:TmoR1/4vEVSmz2jkVSmz3Yg/ssmcGS2FlfzKp24cO42Yhzk:XVvfYScrmMazYq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333662699999999 |
|
VISUAL
aHash
|
e7e7efffe7e7e7ff |
|
VISUAL
dHash
|
4d4d0c1c4d0c0c00 |
|
VISUAL
wHash
|
c3c3c3c3c3c300ff |
|
VISUAL
colorHash
|
07000000603 |
|
VISUAL
cropResistant
|
4d4d0c1c4d0c0c00,454980c4c2184145 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.