Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E234A726722B8B843DB91DEF73C2956B2D1489DF8CB4510B5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aL+EsZx8/G8e48DawsMABHwfMABow9r82+/9dtZkDieE565ThHEnnvdhfePqDv+M:aL+EsZ/8J8DawsMABHwfMABowh82+/99 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fc0c03fc0c037 |
|
VISUAL
aHash
|
8101818181ffffff |
|
VISUAL
dHash
|
77737f7777080000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
06200030000 |
|
VISUAL
cropResistant
|
77737f7777080000,fe80c293abc080ba,1690cc9dc898ece7,dcd480b69680c4fc,fff3fdf7fffff3f7 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)