Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFE35CF072917A7B5073C3DBB1E9665EB1AAD31BD40B4C20F298C55662DDC87A8233E4 |
|
CONTENT
ssdeep
|
1536:wX3kdpNKIX5i2DraNTx7DDTYI6kABQWMlX56OMQNTgIMHWcHlxIoAj2tDBwLXSI2:OMWQrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3f47c0c015536e |
|
VISUAL
aHash
|
0001838ffdffffff |
|
VISUAL
dHash
|
d85b5b18d5d55455 |
|
VISUAL
wHash
|
0001010ffdfdb5ef |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
80000082c2c20080,5b7b1a99d5d45555,c4581b5f6f1b181a,d9e6666663697936,4e9732666d595932,e7e7e62ca6262625 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.