Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1193162E0C2D75E3E20071ABABC422F26A45AD61DCB1A144DF5BCE19C43D8D1A0C0E648 |
|
CONTENT
ssdeep
|
24:haHALX6tz4GS0AGTG4H4U28A2cw3g23m3P9EjMo3DM0o34i3Q3F3vcECyZCJnzF8:rsz4GsGKk4U9AtydEPKjMo340o3/SRvr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0bed5aacb91e481 |
|
VISUAL
aHash
|
ff00760041f56060 |
|
VISUAL
dHash
|
4d8c8477998ddece |
|
VISUAL
wHash
|
ff06770069f76260 |
|
VISUAL
colorHash
|
03001000180 |
|
VISUAL
cropResistant
|
4d758ca477998d8d,19ad665ad62676a7,664bd9b7abab3818,c0c086d4e8f97d5d,6d84a4938d8ddece |
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)