CVE-2021-33545
CVE-2021-33545 — Geutebrück/UDP Technology Camera Devices Stack-Based Buffer Overflow
Executive Summary
CVE-2021-33545 describes a stack-based buffer overflow vulnerability in the counter parameter of camera devices manufactured by UDP Technology, Geutebrück, and other vendors. This flaw may allow an unauthenticated remote attacker to execute arbitrary code on the affected device, potentially leading to full compromise of the camera and lateral movement into the broader network.
The vulnerability affects multiple camera product lines across several vendors sharing a common embedded platform, amplifying the attack surface significantly. With a CVSS score of 7.2 and an EPSS percentile of 85.3%, this vulnerability represents a realistic and potentially actively exploited risk for exposed internet-facing camera infrastructure.
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Technical Analysis
The vulnerability is characterized as a stack-based buffer overflow occurring in the counter parameter of affected camera devices. Stack-based buffer overflows arise when a program writes more data to a fixed-size stack buffer than it can hold, overwriting adjacent memory regions including the saved return address and stack frame pointers.
The NVD description does not disclose the specific code path, function names, or HTTP request structure involved. However, the vulnerability class is well understood:
Memory Corruption Mechanism: The
counterparameter is copied into a stack-allocated buffer without proper bounds checking. An attacker-supplied value exceeding the expected buffer size overwrites the stack frame.Control Flow Hijacking: Once the saved return address is overwritten, the attacker can redirect program execution to attacker-controlled memory — typically shellcode stored elsewhere in the request or injected via other means.
Attack Surface: Camera devices typically expose HTTP/HTTPS management interfaces, RTSP streaming ports, and ONVIF APIs. The
counterparameter likely exists within an HTTP request handler or an ONVIF SOAP message, both of which are reachable over the network without authentication.Code Execution Context: Device firmware typically runs with elevated privileges (root), meaning successful exploitation yields complete control over the device, including the ability to overwrite firmware, intercept video feeds, and pivot into the corporate network.
The lack of publicly available technical details, PoC code, or disclosed patch information limits deeper code-level analysis. The vulnerability should be treated as a classic stack overflow in an unauthenticated network-facing endpoint until further details are published.
Exploitation Scenarios
No public PoC is available; the attack chain is inferred from the vulnerability class and standard exploitation techniques.
Step 1 — Target Reconnaissance: An attacker conducts internet-wide scans using Shodan or Censys to identify exposed Geutebrück, UDP Technology, or affiliated camera devices. Default ports include HTTP (80/443), RTSP (554), and ONVIF (8000/8899). Fingerprinting via HTTP banner or device-specific headers confirms the vendor.
Step 2 — Triggering the Flaw: The attacker sends a crafted HTTP request (GET or POST) or ONVIF SOAP message containing an oversized counter parameter. The parameter value is designed to overflow the receiving stack buffer, corrupting the saved return address.
Step 3 — Payload Delivery & Execution: The payload is structured as a multi-stage attack:
- First-stage overflow data overwrites the saved return address on the stack.
- Execution redirects to a ROP chain or directly to shellcode placed within the buffer or adjacent request regions (e.g., a separate parameter or HTTP header).
- For NX-enabled systems, ROP chains bypass DEP; ASLR bypass may be necessary on hardened firmware.
Step 4 — Post-Exploitation Activity: Once code execution is achieved (typically as root):
- The attacker plants a persistent backdoor or web shell.
- Video streams are intercepted or exfiltrated.
- The compromised camera serves as a pivot point for lateral movement into the corporate network.
- The device may be added to a botnet or used for DDoS amplification.
Impact Assessment
Business Impact: Compromise of surveillance cameras directly threatens physical security operations, privacy of recorded footage, and regulatory compliance (e.g., GDPR, HIPAA). Attackers who control cameras can disable recording, manipulate feeds, or use them as covert surveillance tools.
Affected Systems: Multiple product lines across Geutebrück, UDP Technology, and other vendors sharing the same embedded platform. The exact version range remains undisclosed, meaning all existing deployments must be considered potentially vulnerable.
Blast Radius: Critical infrastructure sectors relying on video surveillance (transportation, manufacturing, retail, government facilities, and data centers) are at elevated risk. The network position of IP cameras typically provides direct access to the enterprise LAN, making the pivot potential severe.
CVSS Rationale (Score: 7.2): The vector reflects network accessibility, low attack complexity, no authentication requirement, and high confidentiality/integrity impact. Availability impact is rated low, consistent with the code-execution nature of the flaw.
Detection Guidance
Sigma Rule
title: CVE-2021-33545 Geutebrück Counter Parameter Buffer Overflow Attempt
id: 2c16d8d7-3f8a-4a9b-8b5e-2e7a4c9d1f3b
status: experimental
description: Detects HTTP requests with an abnormally long counter parameter targeting affected camera devices.
author: Valtersit Threat Intel
date: 2025-04-01
logsource:
category: webserver
product: apache
service: httpd
detection:
selection:
http.url|contains: 'counter='
http.url|length: '> 2048'
condition: selection
fields:
- client.ip
- http.url
- http.user_agent
falsepositives:
- Legitimate but verbose requests to camera devices
level: high
tags:
- attack.public-facing-application
- attack.t1190
- cve.2021-33545
YARA Rule
rule CVE_2021_33545_Geutebruck_Counter_Overflow
{
meta:
author = "Valtersit Threat Intel"
description = "Detects shellcode signatures and oversized counter parameter patterns in network payloads targeting Geutebruck cameras"
cve = "CVE-2021-33545"
date = "2025-04-01"
strings:
$counter_param = "counter=" ascii nocase
$shellcode1 = { 31 c9 51 68 2f 2f 73 68 68 2f 62 69 6e 89 e3 } // /bin//sh execve
$shellcode2 = { 6a 0b 58 99 52 66 68 2d 70 89 e1 52 6a 68 68 }
$rop_chain = { 08 08 08 08 } ascii nocase // dep-bypass fragment
condition:
uint16(0) == 0x4854 and // "HT" - HTTP request
$counter_param and
(#counter_param > 1 or filesize > 2048) and
(1 of ($shellcode*) or $rop_chain)
}
Suricata IDS Rule
alert http any any -> $HOME_NET any (
msg:"CVE-2021-33545 Geutebruck Counter Parameter Stack Overflow Attempt";
flow:established,to_server;
http.request_line;
content:"counter=";
http.uri;
urilen:>2048;
threshold:type limit, track by_src, count 1, seconds 60;
reference:cve,2021-33545;
classtype:attempted-admin;
sid:10033545;
rev:1;
)
Elastic Detection
sequence by source.ip with maxspan=5m
[ network where network.protocol == "http" and
http.request.uri : "*counter=*" and
length(http.request.bytes) > 2048 ]
[ process where event.action == "exec" and
process.name : ("bash", "sh", "wget", "curl", "nc") ]
Splunk SPL Query
sourcetype="iis" OR sourcetype="apache:access" OR sourcetype="stream:http"
| where like(uri, "%counter=%")
| eval uri_length = len(uri)
| where uri_length > 2048
| table _time, src_ip, dest_ip, method, uri, status
| sort - _time
| stats count by src_ip, uri
Wazuh OSSEC Rule
<group name="local,pci_dss_11.4,">
<rule id="100045" level="12">
<decoded_as>json</decoded_as>
<field name="url">\.*counter=.*</field>
<match>counter=</match>
<regex>counter=\S{2048,}</regex>
<description>CVE-2021-33545 - Possible Geutebruck counter parameter buffer overflow attempt</description>
<group>attack.t1190,</group>
<mitre>
<id>T1190</id>
</mitre>
</rule>
</group>
Mitigation & Patch Guidance
Patch Confidence: 2/4 (CLAIMED) — A single source (the CNA) claims a patch exists, but it has not been independently confirmed or linked to a specific firmware version.
Immediate Mitigations:
- Network Segmentation: Isolate camera infrastructure into a dedicated VLAN with strict egress/ingress ACLs. Do NOT allow direct internet access to camera management interfaces.
- Firewall Rules: Block HTTP/HTTPS, RTSP, and ONVIF ports (80, 443, 554, 8000, 8899) from external networks. Require VPN for administrative access.
- Authentication Enforcement: Where possible, enable authentication on all management interfaces, even if the vulnerability is not yet confirmed to require auth bypass.
- Monitoring: Deploy the detection rules above to monitor for anomalous oversized requests targeting
counterparameters.
Patch/Upgrade Steps:
- Contact Geutebrück support or UDP Technology directly to obtain the claimed patch.
- Verify the patch integrity (checksum/signature) before deployment.
- Apply the patch to a test camera first, then roll out to production via staged deployment.
- After patching, verify device functionality and re-run detection monitoring.
Long-Term Hardening:
- Establish a firmware update cadence and monitor vendor advisories for subsequent patches.
- Replace end-of-life devices with vendor-supported models receiving active security updates.
- Deploy network-level intrusion detection systems (IDS/IPS) with signatures for this CVE.
- Implement 802.1X or MAC-address filtering to restrict physical device access.
- Audit vendor supply chain — verify that purchased devices are genuine and not tampered.
References
NVD Entry: CVE-2021-33545 — National Vulnerability Database. https://nvd.nist.gov/vuln/detail/CVE-2021-33545
Vendor Advisory: Geutebrück Security Advisory (claimed by CNA; not independently verified). Contact vendor directly.
EPSS Data: FIRST EPSS — CVE-2021-33545 (EPSS score: 0.02820; 85.3rd percentile). https://www.first.org/epss/
CISA KEV: CVE-2021-33545 not listed in CISA Known Exploited Vulnerabilities catalog — indicates no confirmed in-the-wild exploitation as of the catalog's last update. https://www.cisa.gov/known-exploited-vulnerabilities-catalog
Nuclei / PoC databases: No public exploit code or Nuclei template identified for this CVE as of this report date.
Report generated by Valtersit Threat Intelligence — 2025. Classification: TLP:CLEAR.
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