Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11921E0355006A533599292E0BB92772BB6C9E2C4D7871A0017EC83D85BF6F6ECE09240 |
|
CONTENT
ssdeep
|
24:hR/CZLDvMokslLbNL7m29dqlSYimds/CRNnuvwPg:Tyv7llLJG29dqsKPnuYo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
883673197726cd27 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
fcf0b2b2b2b2f0c4 |
|
VISUAL
wHash
|
071f1f1e1e383c78 |
|
VISUAL
colorHash
|
00000e00000 |
|
VISUAL
cropResistant
|
8e8c8e132b309886,fcf0b2b2b2b2f0c4 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.