Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173A2182FE4C4625D058311A1FF527BEBE56C849CE379E160DCBBC19266918B880B71FA |
|
CONTENT
ssdeep
|
384:3q4BRQbYZUQMUIvDcADzvt4huMilyOCXB80LOnujl1zln9uEtIJ4GmZ:3q4BRQbYZivDJDTYu4l1jbKPU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aba3eef6da182828 |
|
VISUAL
aHash
|
ffff0b0ce0001000 |
|
VISUAL
dHash
|
4d4cdb584c896561 |
|
VISUAL
wHash
|
ffef0f0ee040b0b0 |
|
VISUAL
colorHash
|
30600040002 |
|
VISUAL
cropResistant
|
4d4cdb584c896561 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.