Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0F242202514DD2621EF6ADCB1F26E2D60F99308D21555CCF9ABC3F257AAD7CCA73098 |
|
CONTENT
ssdeep
|
768:Zhj3m3WxNNiH8DH7gwR8z3uIS/5JJ4ZbTQG+uoOsVNSKgefpeENrN:3ob0woOsIAN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e446e6ec139b13 |
|
VISUAL
aHash
|
fff7ffffffff0000 |
|
VISUAL
dHash
|
06061816061e4c30 |
|
VISUAL
wHash
|
f7e3cffff3000000 |
|
VISUAL
colorHash
|
07030000000 |
|
VISUAL
cropResistant
|
0c060e1e1a060618,0000000000000000,111094d4d4d63011,304d4c4c50483230 |
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 948 techniques to evade detection by security scanners and make reverse engineering more difficult.