Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC334F30A404ED3701CB95D9A636435A62EA8345CA530689FAF9C3FD1BEFC69CE37158 |
|
CONTENT
ssdeep
|
1536:wlgBa0bFbtFbJFbgXjOJ9jSEsIxv7ITMqrzjY:C0pb3bjbgXjWjSEb7uMKzjY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e152e112059d3faf |
|
VISUAL
aHash
|
00e001030103fff3 |
|
VISUAL
dHash
|
c48b0bc2471f0b0b |
|
VISUAL
wHash
|
40e1c1232307fffb |
|
VISUAL
colorHash
|
13200008180 |
|
VISUAL
cropResistant
|
f4f4f071e1353035,71e896d4d4d4c4c4,71c8b2c4c4c4ccd0,19b3b7656d6d7161,bf004b4b0b0b8a0b,34c48b4bd2474f9f,00000010303030c2,00000010101012d4 |
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 121 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)