Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3B1A830A2156C3CA427D344EAB1B32E6232E246D70E04289CAD1672E6CD5F9953F9DD |
|
CONTENT
ssdeep
|
96:u9CwZu4QNHM3e9FvxP+mByloTlnaWQW6RAduS7KGV5/aFpdtV:YCwZu4V3eHvxP+mBy65naWgRAdu1GVw7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89222289db76dcdd |
|
VISUAL
aHash
|
0101181818180000 |
|
VISUAL
dHash
|
030b333232320c10 |
|
VISUAL
wHash
|
ff03db18db18838c |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
030b333232320c10 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.