Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1964266A29400541B111641CA7657EB4B34C3E2458E7A0852A79943AB7FEF7F0ACFF39A |
|
CONTENT
ssdeep
|
192:QS8StSiS7oiwQcYIggT8Le69omlu3sIbyxKDW6gtz3pj0YO2a:QBWSiS7oiwQ8o1wJe3pj/OB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56d5a124f4d169a |
|
VISUAL
aHash
|
00c3c3c3ffe7ffff |
|
VISUAL
dHash
|
161696960e0d0800 |
|
VISUAL
wHash
|
0003c3c30303273f |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
961696960e0d0800,696169795f4ecc0e,0000343430303410,32f0cc73f0ccc828 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.