Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187A39B33411975274437C6D430A95B3BE2EA9D5FF9A70A010EECD7EA2BFAC90744B11A |
|
CONTENT
ssdeep
|
1536:U2Lz4NP/y9svbliCdwG+GGlYOFtSuCa2GG2Aw:dmAiKj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d13a9d4cbc48 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
18c8cccac82cd3d2 |
|
VISUAL
wHash
|
00ecfc600e00ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
908081005a1a8080,1088cccac8dc0cd2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.