A server-side request forgery (SSRF) vulnerability exists in multiple Selea Targa IP OCR-ANPR…
CVE-2025-34021 is a high-severity improper input validation vulnerability in Targa IP OCR-ANPR Camera from Selea, with a CVSS 4.0 base score of 7.8 out of 10. It can be exploited remotely over the network by an unauthenticated attacker, without any action from a user. Affected Targa IP OCR-ANPR Camera versions: BLD201113005214; BLD201106163745; BLD200304170901, and others listed below. The record does not name a fixed version, so check the vendor advisory. There is no confirmed exploitation so far. EPSS estimates a 0.6% chance of exploitation within 30 days, which is low compared with other CVEs.
High severity with no evidence of exploitation so far.
What to do
- Check which version of Targa IP OCR-ANPR Camera you run against the affected versions below, and install the vendor's latest release.
- Until you can update, restrict network access to the affected service so it is not reachable from untrusted networks.
Affected products and versions
| Vendor | Product | Affected versions | Fixed in |
|---|---|---|---|
| Selea | Targa IP OCR-ANPR Camera | BLD201113005214; BLD201106163745; BLD200304170901; BLD200304170514; BLD200303143345; BLD191118145435; BLD191021180140; CPS 4.013(201105); and 3 more ranges | Not stated |
Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.
How the severity score breaks down
- Attack vector
- NetworkCan be exploited remotely over a network, including the internet.
- Attack complexity
- LowNo special conditions are needed; the attack works reliably.
- Attack requirements
- NoneThe attack does not depend on a particular deployment or configuration.
- Privileges required
- NoneNo account or login is needed.
- User interaction
- NoneNo action by a victim is required.
- Confidentiality (vulnerable system)
- NoneNo loss of confidentiality on the vulnerable system.
- Integrity (vulnerable system)
- NoneNo loss of integrity on the vulnerable system.
- Availability (vulnerable system)
- NoneNo loss of availability on the vulnerable system.
- Confidentiality (other systems)
- HighSerious loss of confidentiality on systems beyond the vulnerable one.
- Integrity (other systems)
- LowLimited loss of integrity on systems beyond the vulnerable one.
- Availability (other systems)
- NoneNo loss of availability on systems beyond the vulnerable one.
Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:L/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X. Scored by CNA (vulncheck.com).
Official description
A server-side request forgery (SSRF) vulnerability exists in multiple Selea Targa IP OCR-ANPR camera models, including iZero, Targa 512, Targa 504, Targa Semplice, Targa 704 TKM, Targa 805, Targa 710 INOX, Targa 750, and Targa 704 ILB. The application fails to validate user-supplied input in JSON POST parameters such as ipnotify_address and url, which are used by internal mechanisms to perform image fetch and DNS lookups. This allows remote unauthenticated attackers to induce the system to make arbitrary HTTP requests to internal or external systems, potentially bypassing firewall policies or conducting internal service enumeration. Exploitation evidence was observed by the Shadowserver Foundation on 2025-01-25 UTC.
Source: the CVE record as published by its numbering authority, via NVD and CVE.org.
The underlying weakness: Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
How developers prevent this class of flaw
- Consider using language-theoretic security (LangSec) techniques that characterize inputs using a formal language and build recognizers for that language. This effectively requires parsing to be a distinct layer that effectively enforces a boundary between raw input and internal data representations, instead of allowing parser code to be scattered throughout the program, where it could be subject to errors or inconsistencies that create weaknesses.
- Use an input validation framework such as Struts or the OWASP ESAPI Validation API. Note that using a framework does not automatically address all input validation problems; be mindful of weaknesses that could arise from misusing the framework itself (CWE-1173).
- Understand all the potential areas where untrusted inputs can enter the product, including but not limited to: parameters or arguments, cookies, anything read from the network, environment variables, reverse DNS lookups, query results, request headers, URL components, e-mail, files, filenames, databases, and any external systems that provide data to the application. Remember that such inputs may be obtained indirectly through API calls.
Timeline
- CVE record published.
- CISA published its SSVC assessment (exploitation: poc, automatable: no, technical impact: partial).
- Record last changed materially (score, affected products, status or references).
References
Other references
Other vulnerabilities in Targa IP OCR-ANPR Camera
- 9.3 Critical severity
Recent Improper Input Validation vulnerabilities
- 7.1 High severity
- 9.5 Critical severity
- 7.2 High severity
- 8.6 High severity
- 9.8 Critical severity
- 8.9 High severity
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