Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C72C82221003B3D5937CBA8F7E8F365431EE2ACD23A54A6F5DD016E2AD5DA0E577384 |
|
CONTENT
ssdeep
|
192:raHMAcHncX8WdP84r9QwUjODMGOkxYfIcr2c4J5rgWEaqb9:raHa2dHdM1kafLr2c4J5cWEaqb9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc71e071e262f2e6 |
|
VISUAL
aHash
|
5818181818183838 |
|
VISUAL
dHash
|
b230303030302030 |
|
VISUAL
wHash
|
fb183c3c383c3c3c |
|
VISUAL
colorHash
|
38000000c40 |
|
VISUAL
cropResistant
|
b230303030302030 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.