Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170B3EB53B20C187A0E5747C1A7A5331E7591B04FCEAA31C5E1FAC3E815E6CE1F86269B |
|
CONTENT
ssdeep
|
1536:FpBPD8XBe9tbsYvHK7PTQG54XQrnz/jLLAjmQWZLGAZG4ZGO:Fce3sYvHK7PTQG54XQrrjLLAjg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9368b3c239c1b3c7 |
|
VISUAL
aHash
|
000000003c7e7e3e |
|
VISUAL
dHash
|
d4f0f033d4c8ccdc |
|
VISUAL
wHash
|
603c00187e7e7e7e |
|
VISUAL
colorHash
|
39000000007 |
|
VISUAL
cropResistant
|
1c1e0c0c4e370f0c,969ecd8c0b033333,d4f0f033d4c8ccdc |
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 930 techniques to evade detection by security scanners and make reverse engineering more difficult.