Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166154733421935260537C6D430A95B3BD2A6DE5FFAE70A010EECD7F72BE9CA0745A11A |
|
CONTENT
ssdeep
|
3072:ZY+YULqC7QPTQ6v7y3tF2LyGgXqwWkC9KReBGGpTqmoqFIUOv:2e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3dcbcc35b206d43 |
|
VISUAL
aHash
|
ffff000070736700 |
|
VISUAL
dHash
|
a93fc7e9cacbcf4b |
|
VISUAL
wHash
|
ffff000470737701 |
|
VISUAL
colorHash
|
02002400200 |
|
VISUAL
cropResistant
|
23cfe7c9cacbcf0b,0022c9c922c9c936,661697767676f623,99999735353626a6,16434363637332e6,000834b2b2300800,419893ecec9cd321 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.