Tongda OA 2017 up to 11.9 delete_search.php VU_ID sql injection

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.
7.3$0-$5k0.03

Overview

A vulnerability was found in Tongda OA 2017 up to 11.9. It has been classified as critical. Affected is an unknown function of the file general/vehicle/checkup/delete_search.php. The manipulation of the argument VU_ID leads to sql injection. Using CWE to declare the problem leads to CWE-89. The weakness was presented 12/20/2023. The advisory is shared for download at github.com. This vulnerability is traded as CVE-2023-7021. It is possible to launch the attack remotely. Technical details are available. Furthermore, there is an exploit available. The exploit has been disclosed to the public and may be used. The current price for an exploit might be approx. USD $0-$5k at the moment. The MITRE ATT&CK project declares the attack technique as T1505. It is declared as proof-of-concept. The exploit is shared for download at github.com. As 0-day the estimated underground price was around $0-$5k. The vendor was contacted early about this disclosure but did not respond in any way. Upgrading to version 11.10 is able to address this issue. It is recommended to upgrade the affected component. A possible mitigation has been published even before and not after the disclosure of the vulnerability. [Details]

IOB - Indicator of Behavior (674)

Timeline

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Lang

en596
ja12
fr10
de10
pl10

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Country

gb88
us40
it24
se16
cn10

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Actors

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Activities

IOC - Indicator of Compromise (28)

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

IDIP rangeActorTypeConfidence
15.135.120.0/24APT33predictiveHigh
25.255.108.0/24Cobalt StrikepredictiveHigh
38.219.85.0/24GigabudpredictiveHigh
4X.XXX.XXX.X/XXXxxxxxxxxpredictiveHigh
5X.XXX.XXX.X/XXXxxxxpredictiveHigh
6X.XXX.XXX.X/XXXxxxxx XxxxxxpredictiveHigh
7X.XXX.XXX.X/XXXxxxxpredictiveHigh
8X.XXX.XXX.X/XXXxxxxx XxxxxxpredictiveHigh
9XX.XXX.XXX.X/XXXxxxxx XxxxxpredictiveHigh
10XX.XXX.XX.X/XXXxxxxxxpredictiveHigh
11XX.XX.XX.X/XXXxxxxxpredictiveHigh
12XX.XX.XXX.X/XXXxxxxxxxpredictiveHigh
13XX.XX.XXX.X/XXXxxxxxxpredictiveHigh
14XX.XX.XX.X/XXXxxxxxx XxxpredictiveHigh
15XX.XX.XX.X/XXXxxxxpredictiveHigh
16XX.XXX.XX.X/XXXxxxxx XxxxxxpredictiveHigh
17XXX.XXX.XXX.X/XXXxxxxxxxxxxxxxxpredictiveHigh
18XXX.XX.XX.X/XXXxxxxxpredictiveHigh
19XXX.XX.XX.X/XXXxxxxxpredictiveHigh
20XXX.XX.XXX.X/XXXxxxxx XxxxxxpredictiveHigh
21XXX.XXX.XX.X/XXXxxxxx XxxxxxpredictiveHigh
22XXX.XXX.XXX.X/XXXxxxxxxxxxxxxpredictiveHigh
23XXX.XX.XXX.X/XXXxxxxxpredictiveHigh
24XXX.XXX.XX.X/XXXxx-x-xxpredictiveHigh
25XXX.XX.XX.X/XXXxxxxxxpredictiveHigh
26XXX.XXX.XXX.X/XXXxxxxxx XxxxxxxpredictiveHigh
27XXX.XXX.XX.X/XXXxxxpredictiveHigh
28XXX.XXX.XXX.X/XXXxxxxxxxpredictiveHigh

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.

IDTechniqueClassVulnerabilitiesAccess VectorTypeConfidence
1T1505CAPEC-108CWE-89SQL InjectionpredictiveHigh

IOA - Indicator of Attack (2)

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.

IDClassIndicatorTypeConfidence
1Filegeneral/vehicle/checkup/delete_search.phppredictiveHigh
2Argumentxx_xxpredictiveLow

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