Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6720F70A018A83B41A3E2D4A6B5175FB2D0C708DF0F968063F9C3AC5BD6EA5DD36065 |
|
CONTENT
ssdeep
|
192:g/8UWdk+0YY3PoK5IUuvuKpGsGDh/SfQpea/kEKhy9+Z2k3039b+T+u+i+f+m+SY:g/8KuGPugF/9C3WE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce72642a3acd9acc |
|
VISUAL
aHash
|
00003c3c3c3c3838 |
|
VISUAL
dHash
|
e9e9696969617272 |
|
VISUAL
wHash
|
7ce47c3c3c3c3838 |
|
VISUAL
colorHash
|
39000c08001 |
|
VISUAL
cropResistant
|
2b7b7b3b2b2b5549,2b63733b2b2b5549,2b6165232b6b5549,2b33713b2b2b5549,2b3333236b295549,8eb3b387ab333333,e9e9696969617272 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.