Nozomi H2 2025 Report Highlights Credential Exposure and OT/IoT Security Gaps

Summary
Nozomi Networks’ H2 2025 report links 26.5% of observed alerts to adversary-in-the-middle techniques. It also finds widespread wireless protection gaps and high or critical severity in 48% of observed 2025 vulnerabilities.
Key points
- Findings draw on anonymized customer production telemetry, with validation, filtering and deduplication; separate globally distributed honeypots supply the IoT botnet observations.
- Adversary-in-the-middle alerts rose from 16% in H1 2025 to 26.5% in H2. In the UK, these alerts were associated with widespread cleartext passwords in unencrypted traffic.
- Transportation, manufacturing and government recorded the highest alerts per organization among eligible sectors; the UK, Germany and Australia led the country rankings.
- Of vulnerabilities discovered in 2025 and observed in monitored environments, 48% were high or critical severity. Use-after-free was the most prevalent weakness category at 13.8%.
- Management Frame Protection was absent from 68% of observed wireless networks, down from 83% previously. The supplied report gives inconsistent figures for enterprise authentication adoption.
- Honeypot activity peaked at 1,169 source IP addresses on September 2, 2025, which researchers linked to a Mirai-clone upgrade; default credential attempts remained common.
- The report recommends continuous OT/IoT asset and wireless visibility, replacing default credentials, and prioritizing remediation using exploitability, asset criticality and operational impact.
Article Details
- Publisher
- Nozomi Networks Labs
- Report Period
- 2025-07-01 to 2025-12-31
- Scope
- Global OT/IoT customer telemetry, industrial wireless exposure, vulnerability research disclosures, and separately collected IoT botnet honeypot observations.
- Key Statistics
- Adversary-in-the-Middle was associated with 26.5% of customer alerts in H2 2025, compared with 16.0% in H1 2025.
- Of vulnerabilities discovered in 2025 and detected in monitored environments at the end of the reporting period, 48% had High or Critical CVSS severity.
- Approximately 68% of observed wireless networks lacked Management Frame Protection, compared with 83% in the preceding reporting period.
- Scattered Spider accounted for 42.9% of actor-linked alerts in H2 2025; attribution was based on detections of malware the report associates exclusively with particular actors.
- Honeypots recorded attacks from 1,169 distinct source IP addresses on 2025-09-02, the reporting period's largest daily spike, which the report linked to an upgrade of a Mirai clone.
- Recommendations
- Maintain continuous visibility into OT and IoT assets, communications, dependencies, and normal operational behavior.
- Prioritize vulnerability remediation using asset criticality, exploitability, network exposure, and operational impact rather than CVSS alone.
- Deploy malware detection and blocking that inspect industrial protocols, monitor lateral movement, and identify previously unseen malicious payloads.
- Deploy dedicated wireless threat detection to identify rogue access points, unauthorized devices, misconfigurations, missing Management Frame Protection, and wireless attack paths.
- Change default device credentials and configure security monitoring to alert when those credentials appear in network traffic.
MITRE ATT&CK
T0812Default Credentials appeared in customer telemetry and in botnet attempts to access honeypots using manufacturer-default usernames and passwords.T0814ICS Denial of Service accounted for 9.39% of alerts, reflecting threats to operational availability.T0841Network Service Scanning accounted for 7.13% of global alerts and 24.5% of Government alerts.T0846Remote System Discovery accounted for 7.13% of global alerts and 24.5% of Government alerts.T0859Valid Accounts was associated with persistence and lateral movement in customer telemetry, accounting for 5.81% of global alerts.T1027.002 · Software PackingIoT malware payloads used UPX packing, including modified UPX structures, to hinder researchers and security detection.T1059.004 · Unix ShellPost-compromise botnet commands observed on honeypots included sh, shell, and BusyBox shell-related commands.T1071 · Application Layer ProtocolApplication Layer Protocol was mapped to command-and-control activity and accounted for 3.62% of global alerts.T1110 · Brute ForceBrute-force credential guessing accounted for 10.2% of alerts; botnets repeatedly attempted logins using hardcoded credential lists.T1498 · Network Denial of ServiceNetwork Denial of Service accounted for 9.54% of alerts and was particularly prominent in Government telemetry.T1557 · Adversary-in-the-MiddleAdversary-in-the-Middle led customer alert mappings; UK detections included cleartext passwords observed in unencrypted traffic at scale.T1565 · Data ManipulationData Manipulation accounted for 8.36% of alerts globally and 38.8% in Germany.
CVE
CVE-2024-6350can disrupt network operation, and CVE-2024-6350, which enables denial-of-CVE-2025-0631| **CVE-2025-0631** | 8.7 | CWE-319: Cleartext Transmission of Sensitive Information | Rockwell Automation PowerFlex 755 |CVE-2025-20363| **CVE-2025-20363** | 9.0 | CWE-122: Heap-based Buffer Overflow | Cisco Secure Firewall Adaptive Security Appliance (ASA) Software, Cisco Secure Firewall Threat Defense (FTD) Software, Cisco IOS Software, Cisco IOS XECVE-2025-24811| **CVE-2025-24811** | 8.7 | CWE-404: Improper Resource Shutdown or Release | Siemens SIMATIC S7-1200 CPU family |CVE-2025-24812| **CVE-2025-24812** | 7.1 | CWE-1286: Improper Validation of Syntactic Correctness of Input | Siemens SIMATIC S7-1200 CPU family |CVE-2025-55182in early December 2025, a critical remote code execution (RCE) vulnerability dubbed React2Shell (CVE-2025-55182) was publicly disclosed and quickly became a widely exploited security crisis across internet-facingCVE-2025-6625| **CVE-2025-6625** | 8.7 | CWE-20: Improper Input Validation | Schneider Electric Modicon M340 and Communication Modules |CVE-2025-7353| **CVE-2025-7353** | 9.3 | CWE-1188: Initialization of a Resource with an Insecure Default | Rockwell Automation ControlLogix Ethernet Modules |
Threat Actors
Cozy BearExplicitly identified as an alternate name for APT29, the Russia-attributed espionage actor ranked third in actor-linked detections.DragonflyPolish CERT attributed a reported DynoWiper attack against Polish critical infrastructure to this group; other researchers attributed that incident to Sandworm. Nozomi also observed Dragonfly-linked activity in several countries.ICE RELICRanked third with 5.42% of actor-linked alerts and described as widely attributed to Russia's SVR. The report explicitly identifies Cozy Bear as an alternate name.KimsukyNorth Korea-linked actor ranked second with 8.45% of actor-linked alerts. The report explicitly identifies APT43 as an alternate name.Mustard TempestRanked fifth with 3.45% of actor-linked alerts and linked to SocGholish delivery for initial access, primarily through drive-by downloads. The report gives no strong country attribution.SandwormOther research groups attributed the reported Polish DynoWiper incident to Sandworm, differing from Polish CERT's Dragonfly attribution. Nozomi reported more than 20 Sandworm activity alerts globally in H2 2025.Scattered SpiderRanked first with 42.9% of actor-linked alerts. Most associated detections occurred in Sweden, followed by the U.S. and UK; the report describes frequent social engineering for initial access.UNC1549Iranian actor ranked fourth with 5.38% of actor-linked alerts; December had its highest monthly alert count in the reporting period.
Malware
ANDROMEDA- **ANDROMEDA**: 6.02%AsyncRAT- **AsyncRAT**: 2.45%BlackSuitCompared to the six months covered in our August blog post, Elpaco ransomware overtook BlackSuit in terms of most alerts during this reported period.CobaltStrike- **CobaltStrike**: 3.62%DoublePulsar- **DoublePulsar**: 20.50%DYNOWIPERPoland reported an attack against its critical infrastructure by the Russia-linked actor utilizing DynoWiper malware.ElpacoCompared to the six months covered in our August blog post, Elpaco ransomware overtook BlackSuit in terms of most alerts during this reported period.MiraiUK. These trends suggest a potential escalation in botnet activity. Organizations sources were recorded. It was related to an upgrade of the Mirai clone, and weRondoDoxRondoDox botnet constantly updating its collection of exploits. In this section, weSocGholishIt is linked to the infamous SocGholish malware observed in use against multiple sectors globally for initial access, primarily through drive-by-downloads.
Vendors
Cisco| **CVE-2025-20175** | 7.7 | CWE-805: Buffer Access with Incorrect Length Value | Cisco IOS Software and Cisco IOS XE Software |Google| **CVE-2025-13042** | 8.8 | CWE-787: Out-of-bounds Write | Google Chrome |Nozomi Networks**Nozomi Networks Labs**Rockwell Automation- In the OT domain, the most commonly observed vulnerabilities discovered in 2025 were those affecting **Siemens**, **Rockwell Automation**, and **Schneider Electric** devices.Schneider Electric- In the OT domain, the most commonly observed vulnerabilities discovered in 2025 were those affecting **Siemens**, **Rockwell Automation**, and **Schneider Electric** devices.Siemens- In the OT domain, the most commonly observed vulnerabilities discovered in 2025 were those affecting **Siemens**, **Rockwell Automation**, and **Schneider Electric** devices.
Products
Cisco IOS Software| **CVE-2025-20175** | 7.7 | CWE-805: Buffer Access with Incorrect Length Value | Cisco IOS Software and Cisco IOS XE Software |Cisco IOS XE Software| **CVE-2025-20175** | 7.7 | CWE-805: Buffer Access with Incorrect Length Value | Cisco IOS Software and Cisco IOS XE Software |Cisco IOS XR SoftwareSecure Firewall Threat Defense (FTD) Software, Cisco IOS Software, Cisco IOS XE Software, and Cisco IOS XR Software |Cisco Secure Firewall Adaptive Security Appliance (ASA) Software| **CVE-2025-20363** | 9.0 | CWE-122: Heap-based Buffer Overflow | Cisco Secure Firewall Adaptive Security Appliance (ASA) Software, Cisco Secure Firewall Threat Defense (FTD) Software, Cisco IOS Software, Cisco IOS XECisco Secure Firewall Threat Defense (FTD) SoftwareOverflow | Cisco Secure Firewall Adaptive Security Appliance (ASA) Software, Cisco Secure Firewall Threat Defense (FTD) Software, Cisco IOS Software, Cisco IOS XE Software, and Cisco IOS XR Software |Google Chrome| **CVE-2025-13042** | 8.8 | CWE-787: Out-of-bounds Write | Google Chrome |Rockwell Automation ControlLogix Ethernet Modules| **CVE-2025-7353** | 9.3 | CWE-1188: Initialization of a Resource with an Insecure Default | Rockwell Automation ControlLogix Ethernet Modules |Rockwell Automation PowerFlex 755| **CVE-2025-0631** | 8.7 | CWE-319: Cleartext Transmission of Sensitive Information | Rockwell Automation PowerFlex 755 |Schneider Electric Modicon M340 and Communication Modules| **CVE-2025-6625** | 8.7 | CWE-20: Improper Input Validation | Schneider Electric Modicon M340 and Communication Modules |Siemens SIMATIC S7-1200 CPU family| **CVE-2025-24811** | 8.7 | CWE-404: Improper Resource Shutdown or Release | Siemens SIMATIC S7-1200 CPU family |
Tools
Countries
Australia- **The UK**, **Germany**, and **Australia** were the countries that produced the highest number of alerts per organization in H2 2025.Brazil- **Brazil**: 6%CanadaThe UK was second with 15.48% of reported incidents, followed by Canada with 13.55%.China- **China**: 30%Colombia| **3** | Colombia | Australia (H2 2025) / Germany |Germany- **The UK**, **Germany**, and **Australia** were the countries that produced the highest number of alerts per organization in H2 2025.India- **India**: 8%Iran| **UNC1549** | Iran | 5.38% |Japan- **Japan**: 4%North Korea| **Kimsuky** | North Korea | 8.45% |PolandPoland reported an attack against its critical infrastructure by the Russia-linked actor utilizing DynoWiper malware.Russia- **Russia**: 5%South Korea- **South Korea**: 6%Sweden| **2** | Spain | Germany (H2 2025) / Sweden |Taiwan- **Taiwan**: 4%United Kingdom| **1** | Italy | United Kingdom (H2 2025) / United States |United States| **1** | Italy | United Kingdom (H2 2025) / United States |
Industries
Government- **Top Targeted Sectors**: **Transportation**, **Manufacturing**, and **Government** were the three sectors that produced the highest number of alerts per organization.Manufacturing- **Top Targeted Sectors**: **Transportation**, **Manufacturing**, and **Government** were the three sectors that produced the highest number of alerts per organization.Transportation- **Top Targeted Sectors**: **Transportation**, **Manufacturing**, and **Government** were the three sectors that produced the highest number of alerts per organization.
