Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3234B726732B4B843DB91EEF7382956B2D2489DE8CB4550B5C95ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aW+EsZx8/G8gMTyW4bDawjMqBOw1MqBfr82+/9dtZkDieE565ThHEnnvdhfePqD0:aW+EsZ/8gMTyxbDawjMqBOw1MqBz82+e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91916a6aea99ade8 |
|
VISUAL
aHash
|
ff0e0e0e20000000 |
|
VISUAL
dHash
|
d8d8dad8c89098d0 |
|
VISUAL
wHash
|
ff7e7e4e7e004040 |
|
VISUAL
colorHash
|
31c00400000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,fef9f9e1f0e6e4e9,343038383cbc9899,d8d8dad8c89088d0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.