Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C72285E1D0A0DF364B1682D5E7767BAB76F1C244CB46094453F853ADABC9CB0CE2199C |
|
CONTENT
ssdeep
|
96:TkjFkkz8inzSK2OMbStqRjJkNyt7EIRGyt7KVFDqXRHFoiXCg/Jvtt77UD+AT431:Q5kkz8inaV5JkNy5RGyYaag/9Ul8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b14ccc73b35e84 |
|
VISUAL
aHash
|
ffdfcfc7ffffff00 |
|
VISUAL
dHash
|
0a121c0a0a240004 |
|
VISUAL
wHash
|
c383838383ffff00 |
|
VISUAL
colorHash
|
07200030080 |
|
VISUAL
cropResistant
|
0e121c0a1a040800,73d99195324bce46,0000002020202020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.