| ID | Technique | Tactic |
|---|---|---|
| T1190 | Exploit Public-Facing Application | Initial Access |
Detection: Cisco Secure Firewall - Oracle E-Business Suite Exploitation
Description
This analytic detects vulnerability exploitation and post-compromise activity associated with Oracle E-Business Suite web-application vulnerabilities, CVE-2025-61882 and CVE-2025-61884. SIDs 65413-65415 detect detect Java.Backdoor.Cl0p variant payload downloads and Java.Backdoor.Cl0p outbound command-and-control connection attempts. SIDs 65456, 65377 and 65378 detect attempts to exploit these vulnerabilities. Security teams should investigate any instances of these signatures, especially if they are found in conjunction with other suspicious network activity or on systems that should not be exposed to such threats.
Search
1`cisco_secure_firewall`
2EventType=IntrusionEvent
3signature_id IN (65377, 65378, 65413, 65414, 65415, 65456)
4
5| fillnull
6
7| stats values(signature_id) as signature_id
8 values(signature) as signature
9 values(class_desc) as class_desc
10 values(MitreAttackGroups) as MitreAttackGroups
11 values(InlineResult) as InlineResult
12 values(InlineResultReason) as InlineResultReason
13 values(dest_port) as dest_port
14 values(rule) as rule
15 values(transport) as transport
16 values(app) as app
17 min(_time) as firstTime
18 max(_time) as lastTime
19 by src_ip dest_ip
20
21| `security_content_ctime(firstTime)`
22
23| `security_content_ctime(lastTime)`
24
25| `cisco_secure_firewall___oracle_e_business_suite_exploitation_filter`
Data Source
| Name | Platform | Sourcetype | Source |
|---|---|---|---|
| Cisco Secure Firewall Threat Defense Intrusion Event | N/A | 'cisco:sfw:estreamer' |
'not_applicable' |
Macros Used
| Name | Value |
|---|---|
| cisco_secure_firewall | sourcetype="cisco:sfw:estreamer" |
| cisco_secure_firewall___oracle_e_business_suite_exploitation_filter | search * |
cisco_secure_firewall___oracle_e_business_suite_exploitation_filter is an empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Annotations
Default Configuration
This detection is configured by default in Splunk Enterprise Security to run with the following settings:
| Setting | Value |
|---|---|
| Disabled | true |
| Cron Schedule | 0 * * * * |
| Earliest Time | -70m@m |
| Latest Time | -10m@m |
| Schedule Window | auto |
| Creates Notable | Yes |
| Rule Title | %name% |
| Rule Description | %description% |
| Notable Event Fields | user, dest |
| Creates Risk Event | True |
Implementation
This search requires Cisco Secure Firewall Threat Defense Logs, which
includes the IntrusionEvent EventType. This search uses an input macro named cisco_secure_firewall.
We strongly recommend that you specify your environment-specific configurations
(index, source, sourcetype, etc.) for Cisco Secure Firewall Threat Defense logs. Replace the macro definition
with configurations for your Splunk environment. The search also uses a post-filter
macro designed to filter out known false positives.
The logs are to be ingested using the Splunk Add-on for Cisco Security Cloud (https://splunkbase.splunk.com/app/7404).
The intrusion access policy must also be configured.
Known False Positives
False positives should be unlikely.
Associated Analytic Story
Risk Based Analytics (RBA)
Risk Message:
Network activity associated with Oracle E-Business Suite exploitation detected from source IP $src_ip$ to destination IP $dest_ip$.
| Risk Object | Risk Object Type | Risk Score | Threat Objects |
|---|---|---|---|
| dest_ip | system | 25 | src_ip, signature |
References
-
https://www.oracle.com/security-alerts/alert-cve-2025-61882.html
-
https://www.oracle.com/security-alerts/alert-cve-2025-61884.html
Detection Testing
| Test Type | Status | Dataset | Source | Sourcetype |
|---|---|---|---|---|
| Validation | ✅ Passing | N/A | N/A | N/A |
| Unit | ✅ Passing | Dataset | not_applicable |
cisco:sfw:estreamer |
| Integration | ✅ Passing | Dataset | not_applicable |
cisco:sfw:estreamer |
Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI.
Alternatively you can replay a dataset into a Splunk Attack Range
Source: GitHub | Version: 1