Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB63EA729110683761EFA2DAF579B709D2D3C70ECA8647E2B1F8536A0DD9CA2FC03456 |
|
CONTENT
ssdeep
|
768:uByEVEjLrw1taC+Tx14xWNrxCt247Ik4f2lD2J52S27e0GJWGuR2nnA8P:uByEVEjLrwzaC+Tx14xWNrykkYREUA8P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddf73288dc772088 |
|
VISUAL
aHash
|
8024189818180000 |
|
VISUAL
dHash
|
7169713333334d71 |
|
VISUAL
wHash
|
fdbcbcb89898809c |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
7169713333334d71 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.