SC Malware on WordPress Restores Deleted Backdoors in Seconds via Eight Persistence Points
Researchers from Sucuri have dissected a persistent WordPress infection known as SC malware that restores any deleted backdoor components within seconds. The malware achieves this resilience through a minimum of eight interconnected persistence points distributed across multiple layers of the site.
The infection conceals itself in PHP configuration directives, hidden loaders, theme files, and plugins. Several components activate before regular WordPress plugins, rendering standard admin-panel cleanup ineffective and turning remediation into a repetitive loop.
Copies of the malicious code are additionally stored in the site database and, on servers supporting the feature, in System V shared memory. Removing files from disk can therefore be immediately reversed by the next request that pulls the payload from an untouched source.
The backdoor itself remains hidden from the plugin list, collects information about the site and administrator sessions, installs further PHP code, and disables protective plugins. Injected JavaScript is capable of harvesting payment data from e-commerce sites.
Commands are received via public Ethereum RPC gateways and smart contracts, with multiple alternative channels ensuring continued operation even if one address is blocked.
A notable cleanup hazard exists because PHP caches the directive that launches the malicious loader. Deleting the referenced file without first stopping execution can break PHP request handling entirely.
Sucuri advises first halting the malware, then removing database and memory copies along with malicious scheduled tasks and hidden accounts, before finally cleaning files and rotating compromised credentials.
Related articles
Over 300 Tor Exit Nodes Hijacked to Intercept SSH Passwords and Deploy Ebury Backdoor
Attackers compromised hundreds of Tor exit nodes and repurposed them to perform man-in-the-middle attacks against SSH connections. Instead of reaching the intended server, users were redirected to attacker-controlled infrastructure where they could be tricked into accepting a forged host key and revealing their credentials. Researcher kaba identified 333 malicious exit nodes routing traffic through the same 12 interception servers after noticing an unexpected host-key warning on October 2. The campaign also attempted to install the Ebury Linux backdoor designed to steal authentication data. The Tor Project confirmed that operators' servers had their configurations altered and some middle relays were converted into exit nodes. The initial access vector remains unknown, but the activity window was limited to October 1-5. Users who connected via Tor during this period, accepted an unfamiliar key, and entered a password should treat their credentials as compromised.
LunaSpy Android Spyware Masquerades as FSB Antivirus and Bundles Right Dialer
Positive Technologies researchers discovered a malicious APK named Антивирус ФСБ.apk that installs the legitimate Right Dialer application from developer Goodwy while embedding the LunaSpy spyware. The sample uses package name com.syscore.toolsuite and requests extensive permissions including Accessibility Service to enable broad device control. Dynamic analysis in PT Sandbox revealed command-and-control communication, privilege escalation, and creation of hidden files. Static analysis showed XOR-encrypted strings and an expanded command set that includes call recording via CallService, call redirection rules in JSON format, screen tree extraction, gesture simulation, and anti-analysis commands such as RESET_REBOOT and DISABLE_PLAY_PROTECT. The malware can exfiltrate call recordings in WAV format, perform taps and swipes, and revive camera and microphone permissions through overlay notifications. Researchers published file and network indicators of compromise including multiple IP addresses used by the operators.
MegaFon Reports 34% Rise in Russian Mobile Malware Infections Driven by Android Trojans
MegaFon monitoring data shows a 34% year-over-year increase in Russian users with detected mobile malware during summer 2026, with the sharpest spike of 77% recorded in August. The growth is primarily attributed to Android trojans capable of installing apps without user consent, intercepting notifications, enabling remote access, and stealing personal data. At the same time, blocked suspicious calls dropped significantly, by 31% in June, 41% in July, and 75% in August, which the operator links to state and corporate anti-fraud measures. Scammers are adapting by hijacking messenger accounts through social engineering, malware, and even rental schemes, often combining calls with fake app installations that deploy spyware. Phishing remains active, with 30% of detected malicious resources tied to investments and crypto, 21% to social networks and messengers, and 9% to harmful APK files. Director Sergey Khrenov noted that smartphones are increasingly used as tools by the attackers themselves in these hybrid schemes.
Reflective DLL Injection: How Malware Executes DLLs Directly in Memory Without Disk Files
Reflective DLL Injection allows malicious code to load and execute a DLL entirely in memory, bypassing traditional file-based loading mechanisms on Windows. The technique uses a custom loader inside the DLL itself to handle PE format parsing, relocations, imports, TLS, and exception handling without calling LoadLibrary. Unlike standard loading, the resulting module often resides in MEM_PRIVATE regions and does not appear in conventional module lists, complicating forensic analysis. Tools such as Meterpreter and Cobalt Strike have historically employed reflective loaders, though Beacon Object Files represent a different COFF-based approach. Investigators must examine memory regions, thread start addresses, and Sysmon events 7, 8, and 10 rather than relying solely on file artifacts. The method does not bypass DEP, Arbitrary Code Guard, or access-control restrictions and leaves detectable traces when combined with behavioral indicators. Proper detection requires correlating private executable memory with process behavior and avoiding over-reliance on simplified signatures.