Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1D310729121283754BB75DAB124A75EA6D7C74FCAC343E1A2FCC39A4FDAC91EC12409 |
|
CONTENT
ssdeep
|
3072:EtXW0SnEmgJTD43YFY2/xy47pgt90bXHBONL69RAUIG:cXjSnEmgJTD43YFY2/xy47pgt+bXHBOe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4966343d99ccc3c |
|
VISUAL
aHash
|
2024dfffe3e3c3c3 |
|
VISUAL
dHash
|
c8c836300e068e8e |
|
VISUAL
wHash
|
0000dfffc3e3c3c3 |
|
VISUAL
colorHash
|
07000208040 |
|
VISUAL
cropResistant
|
c8c836300e068e8e,8c0e2d33116c3f0d,63bcece8dc716717,f97176f3f3353e3e,6149696169717131,9d13071b67255d53 |
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 226 techniques to evade detection by security scanners and make reverse engineering more difficult.