Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1477152738016905B520A93C193F1F7A6E81BD50ACBB00FC4E6980BD6F9E4FA5B1B215D |
|
CONTENT
ssdeep
|
48:siC03+14VDUePAjJtTn/6aTNNAmwNOmwNemwN30Lq1bv2LXwVgombL3qPekCfow2:xCTcS7/sMQN07X7LvoekR76k65x53C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6633993333cc66 |
|
VISUAL
aHash
|
0018180000181800 |
|
VISUAL
dHash
|
0c3030080cb2320c |
|
VISUAL
wHash
|
81999981bdbd9981 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
88104c4d4d4c3008,0c3030080cb2320c |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.