Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0A35833411975274437C6D430B95B3BE2A69A5FFDE70A010EECD7EA2BFAC90744A11A |
|
CONTENT
ssdeep
|
1536:+Lz4NP/y9svbliCdAmupqugFtSuCa2GG2Ao:wmAxmN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247d532dd29b42c |
|
VISUAL
aHash
|
00240000000000ff |
|
VISUAL
dHash
|
ccccccc8cccdcfb0 |
|
VISUAL
wHash
|
7cfc70007c6441ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
808001105a82a000,ccccccc8c8cccd83 |
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.