Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F38319A43A5DF5665AF3439310AF1103B378562B540E4D20B350ECAE76BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:y5XFfbsQmlo2h2wV9LHd8tVPTMn57BAPuW8Fuz8k:y5XjUMAL98n0AV8Fg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2424474f3f3b1b9 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
947569496814000c |
|
VISUAL
wHash
|
0000006fe7ffffc3 |
|
VISUAL
colorHash
|
07203200000 |
|
VISUAL
cropResistant
|
00208e8e8e4094bc,696969100000040c,9ccc5475e5b55550 |
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.