Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C882B5B2A055AD374157D3F4F3E59B866192D349CA820E9197ECC7BF37E1C40EA62328 |
|
CONTENT
ssdeep
|
192:+uFBdm+YGodnc2ZBQh2ifZ6caOShrx82sKb7tVZPBeoH2OZuIuvwyczJa+iecAtb:+u/5VhR4hrPbhVFJWkMczxcAx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
830098f85f47e7f1 |
|
VISUAL
aHash
|
19092000dfffffff |
|
VISUAL
dHash
|
bbbbcfcc19105428 |
|
VISUAL
wHash
|
1901000087ffffff |
|
VISUAL
colorHash
|
07c01000000 |
|
VISUAL
cropResistant
|
23b9b39adbcdceec,0818141680182020,43861d3d5f9f9f9f,4ccecdec6cd0c4d0 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.