Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D72FFE1D050DD36472381D4B7B5AB6B36E2C349CF021D5413F843EAABDECA09A125EE |
|
CONTENT
ssdeep
|
384:QOuq7Gnqxc41UGMAmIz5TopVrQS4WwazL9qfxLi+1Z4ZdZ0Zt8F:Ouc41UPNQS4WwazLMZ4ZdZ0ZmF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4c7929093da93e6 |
|
VISUAL
aHash
|
ffc3e3d3c3c3c3c3 |
|
VISUAL
dHash
|
8e86869296960686 |
|
VISUAL
wHash
|
f7c1c3c3c3c2c343 |
|
VISUAL
colorHash
|
07001200240 |
|
VISUAL
cropResistant
|
8e86869296960686,c1c264d24ae362e6 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.