Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC934633461979234533C6C520B95B3BE29A9E4FF6A30A010EECD7FB1BEDCA0751A159 |
|
CONTENT
ssdeep
|
768:go9fhOLOxw1gXt3UHWJzvhdPrxQi6ymWlbhJJ:JYLOxwOJUHWJzvhdPNt6ymWlbhP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9fe86187e6309a1b |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
15697968696878cc |
|
VISUAL
wHash
|
fd3d3c3e3e3e0400 |
|
VISUAL
colorHash
|
1b400010001 |
|
VISUAL
cropResistant
|
4c4b4e939b96968c,15697968696878cc |
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 256 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)