Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF838632D256140391ABC5C9F1628B4E73928789C7134BB567FC17BAFECECB53621298 |
|
CONTENT
ssdeep
|
1536:0xN7iPOexJXeS1eeLIPUgOq61e29ZQ6FUeevcmzw2eC4ESuoCD/xRVRHc/9gP9I1:7J10PUgOq6P6NTtRRk222I2222222XE5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2cdcf38b091cdc9 |
|
VISUAL
aHash
|
7f317f47070347c7 |
|
VISUAL
dHash
|
43ebe38cafae8d8d |
|
VISUAL
wHash
|
79317f4707034747 |
|
VISUAL
colorHash
|
02200038000 |
|
VISUAL
cropResistant
|
a3cbc5595b5a195a,6179086e1e087963,6279914c5e086963,627991484e086963,91d2b2b0a9a0a2f2,6679f1086e1e4979,c5d909c999cdd9c5,499964f131272b2b,d6693248cccc442c,2565477747496b21,179797d44569a3d1,4f43712c30302060 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)