Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D125433A004D41A4EEBD59DF6C0E58C6199D30AFF324C93A2A4A1AF2BC9DE5596137C |
|
CONTENT
ssdeep
|
192:cL62d+H/63X8Ju6VlcFl+vfMmUU8VCoGggl:cL6K+H/63X8JTsl+vfMmUFCoLC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c23272c3c3d27 |
|
VISUAL
aHash
|
03cf8f97f7ffffff |
|
VISUAL
dHash
|
26183e342c002000 |
|
VISUAL
wHash
|
0383838383efcfce |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
26183e342c002000,8041012121210080 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.