Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0427133E600CD2E8DAB9588F6C49688425ED345FB3148C6A1B091FF7BC5DF069A639D |
|
CONTENT
ssdeep
|
192:2+3J0YcOc+c63Yd/cWhQxfMcnthWeNWbrKwVGfMmUU8VCor:lcOc+c63Yd/c+KwVGfMmUFCor |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949b66ac33ab64a |
|
VISUAL
aHash
|
f8f838f8f8f9ffff |
|
VISUAL
dHash
|
d372321283333700 |
|
VISUAL
wHash
|
38f818f8f88181ff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
d372321283333700,8282703b3bc80496,fefe71fee869fefe,0008343232300800,0000243432320810 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.