forcedotcom SalesforceMobileSDK-Windows up to 4.x QuerySpec.cs ComputeCountSql sql injection

EntryHistoryDiffjsonxmlCTI

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.9	$0-$5k	0.07

Overview

A vulnerability was found in forcedotcom SalesforceMobileSDK-Windows up to 4.x. It has been rated as critical. This issue affects the function ComputeCountSql of the file SalesforceSDK/SmartStore/Store/QuerySpec.cs. The manipulation leads to sql injection. The CWE definition for the vulnerability is CWE-89. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. The weakness was shared 01/07/2023 as 83b3e91e0c1e84873a6d3ca3c5887eb5b4f5a3d8. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2016-15012. The attack needs to be done within the local network. Technical details are available. There is no exploit available. The pricing for an exploit might be around USD $0-$5k at the moment. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK. It is declared as not defined. We expect the 0-day to have been worth approximately $0-$5k. Upgrading to version 5.0.0 is able to address this issue. The updated version is ready for download at github.com. The patch is named 83b3e91e0c1e84873a6d3ca3c5887eb5b4f5a3d8. The bugfix is ready for download at github.com. It is recommended to upgrade the affected component. A possible mitigation has been published before and not just after the disclosure of the vulnerability. [Details]

IOB - Indicator of Behavior (521)

Timeline

The data in this chart does not reflect real data. It is dummy data, distorted and not usable in any way. You need an additional purchase to unlock this view to get access to more details of real data.

Lang

en	510
de	8
zh	4

Country

us	92
gb	44
de	24
fr	8
cn	6

Actors

Sliver	2
Hafnium	1
APT28	1
FritzFrog	1
Shade	1

Activities

IOC - Indicator of Compromise (16)

These indicators of compromise highlight associated network ranges which are known to be part of research and attack activities.

ID	IP range	Actor	Type	Confidence
1	3.71.22.0/24	Cobalt Strike	predictive	High
2	18.184.208.0/24	Sliver	predictive	High
3	XX.XXX.XX.X/XX	Xxxxxx	predictive	High
4	XX.XXX.XXX.X/XX	Xxxxxxx	predictive	High
5	XX.XXX.XX.X/XX	Xxxxxxxxx	predictive	High
6	XX.XX.XXX.X/XX	Xxxxxxxx	predictive	High
7	XX.XX.XXX.X/XX	Xxxxxxx	predictive	High
8	XX.XXX.XX.X/XX	Xxxxx	predictive	High
9	XX.XX.XX.X/XX	Xxxxx	predictive	High
10	XXX.XXX.XXX.X/XX	Xxxx	predictive	High
11	XXX.XXX.XXX.X/XX	Xxxxxxx	predictive	High
12	XXX.XX.XX.X/XX	Xxxxxxx Xxxxxx	predictive	High
13	XXX.XXX.XXX.X/XX	Xxxxxx Xxx	predictive	High
14	XXX.XXX.XXX.X/XX	Xxxxx Xxxxxxx	predictive	High
15	XXX.XXX.XX.X/XX	Xxxxx	predictive	High
16	XXX.XX.XXX.X/XX	Xxxxxx	predictive	High

TTP - Tactics, Techniques, Procedures (1)

Tactics, techniques, and procedures summarize the suspected MITRE ATT&CK techniques used. This data is unique as it uses our predictive model for actor profiling.

ID	Technique	Vulnerabilities	Access Vector	Type	Confidence
1	T1505	CWE-89	SQL Injection	predictive	High

IOA - Indicator of Attack (1)

These indicators of attack list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration. This data is unique as it uses our predictive model for actor profiling.

ID	Class	Indicator	Type	Confidence
1	File	xxxxxxxxxxxxx/xxxxxxxxxx/xxxxx/xxxxxxxxx.xx	predictive	High

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