Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E234A726332B87843CB92EDF7382E46B2C2959DE9C74590F5C9568D23C3C856293BB4 |
|
CONTENT
ssdeep
|
768:ap+EsZx8/G83ERF4xDatrpM7BLVtrUM7BL3Ucix+y9dQpUDF1E56ITmHDLBABW8y:ap+EsZ/83+OxDatlM7BhtoM7B7UXx+y3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3a91e462c0eb65 |
|
VISUAL
aHash
|
fd81818181c7ffff |
|
VISUAL
dHash
|
5d79713155150015 |
|
VISUAL
wHash
|
fd8101818181ffff |
|
VISUAL
colorHash
|
0fc10000000 |
|
VISUAL
cropResistant
|
5d79713155150015,636ac6d6e4bcd97b,8bc370bef9b1baaa,a2a2d04b1351a2a2,c4a2a6a3bb92a2c4,121d1d1d1d1d9da2,bc3cbbb07136d616 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)