Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15423C83114C86B2BA5D353C4A351D64BE2D68044E37EC58AF1EAC79F07C9D59C83ABAC |
|
CONTENT
ssdeep
|
768:dqxOPA0cCMCuztagt5nBlsO0+UXPN/QxaQPUUtdj4F28CSVxj+tp3gfg:dYOPFuhltZBKO09XPN/QxaQPUUtdj4Fq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
916ab8b1eeeb8690 |
|
VISUAL
aHash
|
ff0000006e6e4e4e |
|
VISUAL
dHash
|
71f0ccf0dcdc9cdc |
|
VISUAL
wHash
|
ff0030007e7e4e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001416363490006,d28fcbcb8e8ec694,84c4c0b4a00e1c88,53c08390e0301cc6,5c4ea36064585a31,32d4d4f0dcdc9cdc |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)