Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A3EE27422925274433C2C1346A6B7BD1B6D99FFAE709400EECC7FA6BFAC90741B159 |
|
CONTENT
ssdeep
|
1536:V2tpR4nXBKpSpFl26vOgbXOk16ouV8NNfAA:YUMIONwIA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212e96b7eec4543 |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
9cdccc2c2ccc002b |
|
VISUAL
wHash
|
0004068606ffffff |
|
VISUAL
colorHash
|
0b200000c40 |
|
VISUAL
cropResistant
|
4d5848ed10202080,0080408080400000,8000619191610080,0000418191014180,888a44482c4b9010,cc000956562b2b2b,cc9cdccc3c2c2ccc |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.