Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F224E33B600DC3A89AB569CF2C4998C151DC346FB3148CAB1A491BF7BC4DF06A9979D |
|
CONTENT
ssdeep
|
192:f98LD0da7suUzxUh4xLuPvMcnthWeNWbt/fMmUU8VCoT3:Za7sh+UuCfMmUFCoT3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56564cec666648e |
|
VISUAL
aHash
|
c3c3c3c3ffffffff |
|
VISUAL
dHash
|
8696969669060000 |
|
VISUAL
wHash
|
c3c3c3c3ff030202 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
8696969669060000,a280a280a28080a2,088e31714df0f00e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.