Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A639411F3802E36126303EDFA40637AD3829389A32675951DE75EF97D16B96E83309F |
|
CONTENT
ssdeep
|
768:h5H5RokZNqB5ovI78QMms/cEHWPvxRkv4gLxcWxUb7gH5VeQkP:7HJbqB5ogYQhOWPvxRkvp2PsDeQs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cece293998649b |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
33049e969e969016 |
|
VISUAL
wHash
|
c1c3c3c3c3c3c7c3 |
|
VISUAL
colorHash
|
06003600000 |
|
VISUAL
cropResistant
|
33049e969e969016,eefe4e4ef6f3fefd,7a7cecfcbc9e7aba |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.