Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ECC1B80BF21C31344FA342DE5BE116FCFAAB80BE62814A9C75D5C1293291ADF41B67D5 |
|
CONTENT
ssdeep
|
96:Tvo8aFp7YUmC2KcbXyVTpySlJr8l+AGghwCYtq0y6b6yQkFbYGxPMQyp1pdXR/7:2dxmB6pyqBTghRC7jNb6xNd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1d41431e1e3a72 |
|
VISUAL
aHash
|
00fb9f9fffffffff |
|
VISUAL
dHash
|
69433333632bcbc7 |
|
VISUAL
wHash
|
00bb83839383eff3 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
433333636b2bcbc7,00481669691a2000 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)