Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFA3FC234259752B4437C3C1307A6B3BE1A6D99FFAE709000EDCCBF66AF9C90745A619 |
|
CONTENT
ssdeep
|
1536:lWtjvctpR4nXBKpSpFl26v20xiXqmMUdhfJX:7UMoIX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d29d3136c2f |
|
VISUAL
aHash
|
00030e2e2e0d01ff |
|
VISUAL
dHash
|
dcb77cdcdcb97700 |
|
VISUAL
wHash
|
00070f7f2f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
bd377cd8dcb97700,dcbf7ddcdcdcb377,96094dc6c9595e76,1e472113161c3424,ec114c3232080041 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.