Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD8319A43A5DF5665AF3439310AF1103B339552B580E4D20A350ECAE76BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:UXFfbsQmlo2h2wV9LHd8tVPTMn57BAPuW8Fuz8k:UXjUMAL98n0AV8Fg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f35f5d5c66228a88 |
|
VISUAL
aHash
|
0000ffe7ffffffff |
|
VISUAL
dHash
|
1030284d30000000 |
|
VISUAL
wHash
|
00001f070f0f0f0f |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
282a4d0000000000,4040804008103232 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.