Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C53EB320056C9BF1DC792D745BA0B5D31EAA752CC83475427E8C7798FA6ED2EE2108A |
|
CONTENT
ssdeep
|
768:dtIWxXfupp0AxTLDUoAjfydLOLsV2ZPiLENoQm2y:rxxXypBUoAjfkLO62ZaLE7y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1af106bc15e5cc9 |
|
VISUAL
aHash
|
f3f7fff3fb404040 |
|
VISUAL
dHash
|
cfcfc6cacb8b909e |
|
VISUAL
wHash
|
e3fbebfb69004042 |
|
VISUAL
colorHash
|
0ee00000000 |
|
VISUAL
cropResistant
|
c165b0e9ecb27d0c,d1e0f37f6cfcfedc,70210340c0c0c1c0,467f3d4d0d8f97d5,ee3ce645f262949c,7673b395dafad7d7,cfcfc6cacb8b909e |
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 101 techniques to evade detection by security scanners and make reverse engineering more difficult.