Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105531AE4B740FC43AC77649BE04E5589B23E150B794C8AA0F108DE8926F74B76453BEB |
|
CONTENT
ssdeep
|
768:IaBinsw4Sue2D7bHjv/dBxBSiKp91j/XnoXWA0sWCyqPSWlZhfrDDsLiOKKcA4ww:T8zOxnEe/a2QS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a43e51ca6e6c8c7 |
|
VISUAL
aHash
|
ff003c3c1c18ffff |
|
VISUAL
dHash
|
64f9f9e9f1b0320e |
|
VISUAL
wHash
|
1c003c3c1c18ffff |
|
VISUAL
colorHash
|
0621a000000 |
|
VISUAL
cropResistant
|
000ca69414660078,f9e9e971b0b0080a,8940cc084c88e884,6666d81edafe388e,7d39f9e9e971b1b0 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)