Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B3346B21142452B8A4783D7E62C6B45E1E59397C6120D5EBBF2862FAF82E34FF17170 |
|
CONTENT
ssdeep
|
1536:XCurBJprbrDJxrFr6rDCsMvGrjJOEtkZS9tL5p7HQi99uLk9rLcpi9SCYLm9ECKP:cqsI8/oD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bac3ca943c365 |
|
VISUAL
aHash
|
00002000000000ff |
|
VISUAL
dHash
|
2231c9c9d8f8d488 |
|
VISUAL
wHash
|
c3006c3c280cffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
00000000a0a0a080,3230c9c9d9d9f9d4 |
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 103 techniques to evade detection by security scanners and make reverse engineering more difficult.