Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1542388734589B93742A782E59664B74EE3C24089CF534F917FF4839D8F92EA2EC23509 |
|
CONTENT
ssdeep
|
768:Ggdcg5bJLM8XRcohhS9ia6q7PPY2dL6qqqPbNg:Ggdcg5bJLXRfa6qDnL6qqqPbe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e43bb1f90a8666 |
|
VISUAL
aHash
|
ff6072fef6600000 |
|
VISUAL
dHash
|
ccc4e4e4c4c469e0 |
|
VISUAL
wHash
|
ff6076fff6700000 |
|
VISUAL
colorHash
|
11000001c00 |
|
VISUAL
cropResistant
|
00004017174020c4,e8fcbcb6b232b0b3,637363656565a969,29c9a92b2baa2a2a,175356b5b4b57753,928c2f23272baab2,0c2dcccc4ccccc22,c4e4e4c4c4d069f0 |
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 21795 techniques to evade detection by security scanners and make reverse engineering more difficult.