Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2A30720E02425FA00D712E6B1687FD5B2A1B380E38249D5F2B4D75D5FE6C9A9D2F21F |
|
CONTENT
ssdeep
|
3072:LkPVDPJOkCNgbQutuummbpZ4dS6uMRWmKX:LopPJOkCNgxpmmbpZ7RMRWmKX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8602b95d67eb1b86 |
|
VISUAL
aHash
|
00073f74340cffff |
|
VISUAL
dHash
|
12eee9ececfc641b |
|
VISUAL
wHash
|
00173d703404ffff |
|
VISUAL
colorHash
|
0e400018040 |
|
VISUAL
cropResistant
|
ece9ecececf4651b,30301196961532b2,f9f979e9f1f9edf9,0c1c9040a0e0d040 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)