Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD2351308042563B4293A6D1D335275BB3E1C389CF230A099BFD979E6FCBDA4DD1A561 |
|
CONTENT
ssdeep
|
768:FGgEAs6T5wkxWa62x3lq1As6s6rwXFqY0VUf7x:YgTXL62x3lqaXXrWFqY0y7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6691cb495a344e |
|
VISUAL
aHash
|
fdf781d1b1f1fdff |
|
VISUAL
dHash
|
51a5252767659984 |
|
VISUAL
wHash
|
fdf180803090f9ff |
|
VISUAL
colorHash
|
07202010040 |
|
VISUAL
cropResistant
|
51a5252767659984,1d5c74333a302a8f,814193195ddccc2d |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.