Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141E101E1C044DC3A535386E6F7B5271F7596C359CB020A8853F853AE5BDAC60CA23A99 |
|
CONTENT
ssdeep
|
96:TkN979ohOhHW0eGCVrO09ESwvlhDeEyXJHlTeZXM5/OxZVrVogQPJ:QN979ohOhHWsCX9E8vYG5+MgQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b5f1257ea32e4a82 |
|
VISUAL
aHash
|
c2e6ffffff0000ff |
|
VISUAL
dHash
|
9696a0300829678a |
|
VISUAL
wHash
|
0042ffffff0000f9 |
|
VISUAL
colorHash
|
07000012000 |
|
VISUAL
cropResistant
|
969696a638b00829,6e2ed10200000000,69daa2eaa6a8ecf2,b13428005872e0d6,296929272d65666e |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.