Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A224F63B600DD2A8D9B5ACCF2C49549411DC386FB3148CAB1A081FF7BD4DF069997AE |
|
CONTENT
ssdeep
|
192:PcLDQUIq9qBGx5z/xLQMcnthWeNWbWfMmUU8VCon:CIq9CAB+fMmUFCon |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9919d3a6731933a3 |
|
VISUAL
aHash
|
18181818ffffffff |
|
VISUAL
dHash
|
3232323232002100 |
|
VISUAL
wHash
|
00080800fefffffe |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3232323232002100,0802201000000000,0000000000000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.