Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BE12DF0D010ED3B475385D9A7BA6B0BB7E1C349CF03094497F893AB5BDAC60CA22599 |
|
CONTENT
ssdeep
|
96:TkfnbzD71tDlt8v67McdtGyt11FhQA2eX2eFAA22XdD/hYff2iN6AC1GNRAC1d:QfnbzD715lt8iIGtGy/W5lCD5cfcr+rL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c4ce6661999 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0c0c080810000000 |
|
VISUAL
wHash
|
e7e7e7e7ff000000 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
000c0c10080c0000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)