Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F382C666520C1F3E6113C2E8FBB2F2745259D28EE32AC958E67D1775429BCC8F433598 |
|
CONTENT
ssdeep
|
192:sIcRIPMLn6r8fkJWLPY3Vya6XttGypzllYdSQjywAcQSyUZxBcFL/W:VcRIPMLxfTgintXef2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c09f6e31cc9f1a6 |
|
VISUAL
aHash
|
0f00000000ffffff |
|
VISUAL
dHash
|
b7f3f3b3f3cd0827 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
03000000030 |
|
VISUAL
cropResistant
|
000022223200bdff,b751529aa933aef7,9ea280969680b2f2,530a6333724d35b6,6a3c6471794bb8ca,b6b24669794926b2,ff080d0c2a2c2636,f7f3f3f7b3f3f3f3 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.