Search: “Seaduke”

Indonesia Hit by Android Banking App-Cloning Campaign

GoldFactory exploits Android Work Profile to deliver the Gigabud banking trojan to Indonesian users via cloned banking apps, with Mantax and Otax spreading separately.

The GoldFactory threat group is running an app-cloning campaign against Android banking customers in Indonesia, abusing the Android Work Profile feature to deliver its Gigabud trojan. The Mantax and Otax malware families are spreading through separate distribution channels. Abusing Work Profile to install or conceal cloned banking apps is a notable mobile technique, though the article reports no victim counts or loss figures.

Dark Reading·updated Sep 11, 12:14 UTC · 5d ago·first Sep 11, 01:00 UTC · 5d agoThreat actor in the wild 3 sources

The Gopher in the Room: Analysis of GoLang Malware in the Wild

Unit 42 analysis of 10,700 Go-compiled malware samples shows steady growth in the wild, with 92% targeting Windows and top families including Veil, GoBot2, and HERCULES.

Unit 42 collected roughly 10,700 unique Go-compiled malware samples and found that Go usage by malware developers has steadily risen in recent months. About 92% of samples targeted Windows and 75% were attributed to known families, led by Veil, GoBot2, and HERCULES. The most prevalent groupings were penetration testing tools, remote access Trojans, and backdoors. Statically linked Go binaries average 4.65MB, which can complicate phishing delivery but sometimes causes antivirus products to skip or fail scanning.

Palo Alto Unit 42·Aug 17, 12:21 UTC · Aug 17, 2026Research1

RANCOR: Targeted Attacks in South East Asia Using PLAINTEE and DDKONG Malware Families

Unit 42 names RANCOR, a previously unidentified espionage group targeting Southeast Asian political entities with newly discovered PLAINTEE and DDKONG malware families.

Unit 42 tracks a previously unidentified group it dubs RANCOR conducting highly targeted espionage attacks in Singapore and Cambodia using two custom malware families, DDKONG and PLAINTEE. Attacks appear to have begun with spear phishing, with decoy political news documents hosted on legitimate sites including a Cambodian government website and Facebook. Infrastructure links to IP 89.46.222[.]97 and KHRAT-associated domains such as facebook-apps[.]com, and the activity is grouped into two clusters tied together by PLAINTEE usage and similar targeting.

Palo Alto Unit 42·Aug 17, 13:24 UTC · Aug 17, 2026Threat actor1

Crab Odyssey: Crustacean Wandered the Seas in a Bottle for Months, Scientists Find

404 Media·Aug 8, 10:00 UTC · Aug 8, 2026Industry

Extradited Russian Hacker Faces Charges Over Excel Malware Campaign That Infected Thousands

US DoJ charged extradited Russian Searzhudin Aktulaev for a 2016-2017 Excel macro campaign infecting ~80,000 freelance platform users with TVRAT and DarkVNC.

Searzhudin Tamirlanovich Aktulaev, 40, was arrested in Cyprus in May 2025 and extradited to the US on August 28, facing charges including wire fraud conspiracy and aggravated identity theft. The indictment alleges ~255 fake freelance-platform accounts were used to send Excel macro attachments to about 80,000 users in 2016-2017, deploying TVRAT (TeamSpy/TVSPY) and DarkVNC RATs for remote access and data theft. Thousands of infected machines called back to a US-hosted C2 domain, with stolen credentials and PII stored in the shared email account used in the scheme.

The Hacker News·Sep 2, 09:10 UTC · 14d agoPolicy & legal

Russian man indicted for spreading malware to 80,000 freelancers

US prosecutors indicted a Russian national for infecting roughly 80,000 freelancers with TVRAT and DarkVNC malware via fake freelance-platform accounts.

Searzhudin Tamirlanovich Aktulaev, 40, was indicted in California for conspiracy, transmission of malicious code, and aggravated identity theft; he was arrested in Cyprus in May 2025 and extradited in August 2026. From June 2016 to November 2017, about 255 fake accounts on a Northern California freelance platform messaged roughly 80,000 users with malicious Excel attachments that ran macros to download malware. The campaign deployed TVRAT (also known as TeamSpy), which exploited a TeamViewer flaw, and DarkVNC via VNC Viewer, exfiltrating stolen data to US-hosted command-and-control servers. About half the victims were in the US, and stolen credentials were used for fraud.

Help Net Security·Sep 3, 00:00 UTC · 13d agoPolicy & legal in the wild

Russian Man Extradited Over Malware Campaign Targeting Freelancers

A Russian national was extradited to the US for allegedly spreading TVRAT and DarkVNC malware to 80,000 freelance platform users via Excel attachments.

Searzhudin Tamirlanovich Aktulaev, 40, was arrested in Cyprus in May 2025, extradited on August 28, 2026, and indicted on conspiracy, computer damage, unauthorized access and aggravated identity theft charges. Prosecutors say he and co-conspirators used about 255 fake accounts on a freelance employment platform's messaging system to send macro-laden Excel attachments between June 2016 and November 2017, deploying TVRAT (TVSPY/TeamSpy) and DarkVNC remote access trojans. Thousands of victims were identified on a US-hosted C2 domain, with roughly half of the 80,000 affected users in the US; C2 infrastructure was paid for with virtual currency. If convicted he faces up to 20 years for wire fraud conspiracy plus additional terms and fines.

Infosecurity Magazine·Sep 2, 15:00 UTC · 14d agoPolicy & legal in the wild1

Real-World Knowledge-Guided Change Data Synthesis for Remote Sensing

Researchers introduce KnowChange, a framework that uses pretrained vision-language models to synthesize realistic change-detection training data for remote sensing.

KnowChange is a knowledge-guided change data synthesis framework that leverages pretrained vision-language models to reason about plausible change locations and class transitions from pre-change scenes and desired change types. It addresses the limited class-transition coverage and inflexibility of handcrafted rule-based synthesis methods, enabling diverse change types in a unified pipeline. Experiments show KnowChange-generated data outperforms existing synthetic datasets in both synthetic-to-real transfer and synthetic data augmentation, despite compact generation scale.

Hugging Face daily papers·Aug 24, 20:00 UTC · 23d agoAI research

Kaininja: Extending Native 3D Generators to the Part Level

KaiNinja extends TRELLIS.2 native 3D generation to part-level assets via a dual-volume O-Voxel representation, cutting whole-object Chamfer distance by 40%.

KaiNinja extends the TRELLIS.2 native 3D generator to produce part-level assets instead of one fused mesh, enabling downstream editing, rigging, and simulation. A dual-volume form of the O-Voxel representation solves the problem that a single volume cannot represent interfaces where two parts touch. The model needs no segmentation network, is partly trained on LLM-agent-authored part data, lowers whole-object Chamfer distance by 40%, and raises strict part F-score by 16% versus other part-generation pipelines.

Hugging Face daily papers·Sep 13, 20:00 UTC · 3d agoAI research

[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale

DeepSeek released V4.1-Flash, an open-weight 763B-parameter model with a novel causal encoder-decoder architecture, 1M context, vision input, and MIT license.

DeepSeek launched V4.1-Flash, an open-weight MIT-licensed model using a novel causal encoder-decoder architecture with 763B total parameters and asymmetric active parameters: 8B for prefill and 16B for decode. It supports 1M-token context and text+image input, priced at $0.30 per 1M input and $1.20 per 1M output tokens with a 50% off-peak discount. Artificial Analysis scored it 40 on its Intelligence Index, above DeepSeek V4 Pro 0813, and Vals ranked it the #1 open-weight model ahead of Kimi K3. Baseten shipped day-0 support and Ollama began rolling it out to paid subscribers.

Latent Space·Sep 12, 05:56 UTC · 4d agoModel release 4 sources1

Meta Ads Push StreamRat Android Trojan That Can Gain Near-Complete Device Control

ThreatFabric details StreamRat, a new Android banking trojan spread via Meta malvertising in Spain that reached about 571,000 EU accounts.

ThreatFabric reported that a fake TV-streaming malvertising campaign on Meta promoted StreamRat, a technically sophisticated Android banking trojan, targeting Spanish-speaking users; the ads reached an estimated 570,950 Meta accounts in the EU between June 11 and July 3, 2026. Once installed via sideloaded APKs, the trojan abuses Accessibility to log keystrokes, show credential-stealing overlays, capture screens, and remotely control devices, and was also promoted through TikTok. Its dropper requests default Home app and VPN permissions and was hosted via GitHub releases, closely resembling one used in the earlier Mirax campaign. C2 infrastructure includes IPs 45.147.28.59 and 193.32.2.245, and no named threat actor was attributed.

The Hacker News·Sep 2, 12:22 UTC · 14d agoMalware in the wild

Bisonal Malware Used in Attacks Against Russia and South Korea

Unit 42 details a Bisonal malware variant, active since 2014, targeting Russian and South Korean defense organizations via PDF-disguised spearphishing emails.

In early May, Unit 42 discovered a campaign delivering a Bisonal malware variant against at least one Russian communications security and cryptography company and one unidentified organization in South Korea. The variant, in the wild since at least 2014, introduces a new C2 cipher and rewritten networking and persistence code, with only 14 samples collected to date. Attackers spoofed Russian state corporation Rostec in spearphishing emails carrying an executable disguised with a PDF icon; the dropper decrypts an RC4-encrypted DLL and establishes persistence via a registry Run key. Bisonal has been used since 2013 against government, military, and defense targets in South Korea, Russia, Japan, and India, alongside successors Bioazih and Dexbia.

Palo Alto Unit 42·Aug 17, 12:55 UTC · Aug 17, 2026Malware in the wild

Stately Taurus Activity in Southeast Asia Links to Bookworm Malware

Unit 42 links Stately Taurus APT activity in ASEAN region and Myanmar to the decade-old Bookworm malware family via infrastructure overlaps.

Unit 42 connected Stately Taurus (aka Mustang Panda) espionage activity targeting ASEAN-affiliated organizations and Myanmar to the Bookworm malware family, first published in 2015. Earlier attacks delivered the PubLoad stager via DLL sideloading, with a PubLoad variant communicating with C2 at 123.253.32[.]15 while mimicking Windows Update URLs. Three previously unreported loader samples from 2021-2022 used UUID-decoded shellcode loaded via heap allocation and API callbacks, ultimately decrypting and loading Bookworm DLLs. A ToneShell backdoor variant shared debug paths with Bookworm loaders, and the January 2024 CSIRT CTI post corroborated the Myanmar attacks.

Palo Alto Unit 42·Aug 17, 10:54 UTC · Aug 17, 2026Threat actor in the wild1

AlayaVista: Streaming World Modeling from Panoramic States to Perspective Video

AlayaVista is a camera-controllable streaming video world model that decouples panoramic scene evolution from perspective synthesis, trained on a 1,318-hour 4K dataset.

AlayaVista builds a 360-degree scene prior from a single perspective image, evolves it as a camera-conditioned panoramic latent state, and maps it to perspective video via a latent viewport renderer plus a perspective refiner. Chunk-autoregressive generation and few-step distillation enable efficient streaming. The authors introduce MUGEN, a real-world panoramic video dataset with 1,318 hours of at-least-4K video and rich semantic and geometric annotations.

Hugging Face daily papers·Sep 12, 20:00 UTC · 4d agoAI research

GoldFactory Weaponizes Open-Source Vwork App Cloner in Gigabud Banking Malware Attacks

Group-IB says GoldFactory's Gigabud Android trojan uses Vwork, a weaponized Shelter fork, to clone banking apps into isolated Work Profiles and evade bank-side detection.

Group-IB's 'Hook for Gold' investigation found GoldFactory ships Vwork, a modified fork of the open-source Shelter app, alongside its Gigabud Android banking trojan, active since 2022. Vwork abuses Android Work Profile provisioning to clone banking apps into an isolated environment, weakening the link between detected malware signals and fraudulent transactions. Gigabud has targeted victims in Southeast Asia, Latin America, the Middle East, Africa, and beyond via fake airline, tax, and government apps requesting Accessibility and overlay permissions. In Indonesia, telemetry recorded about 1,469 compromised devices and roughly $960,939 in estimated losses between February and July 2026.

GBHackers·Sep 9, 10:49 UTC · 7d agoMalware in the wild

RelightFormer: Feed-forward Generative Transformer for Multiview Object Relighting

RelightFormer is a feed-forward generative transformer for photorealistic single- and multi-view object relighting, trained on a 90K-object dataset.

Researchers introduce RelightFormer, a feed-forward generative transformer adapted from a video foundation model that performs direct image relighting without explicit intrinsic property estimation. The architecture injects target environment maps via a latent illumination module with cross-attention and uses permutation-invariant positional encodings for unordered multi-view inputs. Training relies on the newly constructed Laval Objaverse Dataset (LOD) with 90K objects and 39K unique illuminations, and the model shows state-of-the-art quality with strong zero-shot generalization across single-view, multi-view, and novel-view relighting.

Hugging Face daily papers·Sep 6, 20:00 UTC · 10d agoAI research

Tracking OceanLotus’ new Downloader, KerrDown

Unit 42 identifies KerrDown, a new OceanLotus (APT32) downloader active since 2018 targeting Vietnamese speakers via malicious macros and DLL side-loading.

Unit 42 tracks KerrDown, a previously undocumented downloader family used by OceanLotus (APT32) since at least early 2018, primarily targeting Vietnam or Vietnamese-speaking individuals. Delivery uses macro-laced Microsoft Office documents embedding base64-encoded 32-bit and 64-bit DLLs, and RAR archives containing a legitimate program abused for DLL side-loading. KerrDown is dropped as main_background.png, downloads a DES-encrypted payload from a URL, and executes it directly in memory. Researchers used Jaccard-index similarity analysis to identify the new family, connect campaign samples, and infer patterns in the group's working hours and days.

Palo Alto Unit 42·Aug 17, 12:53 UTC · Aug 17, 2026Malware in the wild1

Persistent Attempts at Cyberespionage Against Southeast Asian Government Target Have Links to Alloy Taurus

Alloy Taurus (GALLIUM) compromised Southeast Asian government networks from 2022 to 2023 using Exchange web shells and undocumented .NET backdoors Reshell and Zapoa.

Unit 42 tracked persistent multiwave intrusions at a Southeast Asian government starting in early 2022 and continuing through 2023, attributing the activity with moderate confidence to Alloy Taurus (aka GALLIUM), a Chinese state-aligned espionage group. Attackers exploited Exchange Server vulnerabilities to deploy web shells including China Chopper, then ran reconnaissance with Fscan and WebScan, created administrative accounts, and installed undocumented .NET backdoors named Reshell and Zapoa. They established resilience by installing SoftEther VPN, brute-forced Active Directory credentials with Kerbrute, and dumped credential stores with GoDumpLsass and LsassUnhooker. The campaign reflects long-term espionage tradecraft to maintain a foothold.

Palo Alto Unit 42·Aug 17, 10:54 UTC · Aug 17, 2026Threat actor in the wild1

AI developers targeted via trojanized GitHub repositories

Help Net Security·Aug 4, 00:00 UTC · Aug 4, 2026Malware1

CosmoH2G: A Hand-to-Gripper Transfer Dataset and Baseline Method for Object Manipulation with Complex Spatial Movements

Researchers release CosmoH2G, a 6,189-episode hand-to-gripper dataset with a two-stage method for complex spatial robot manipulation.

The paper introduces a scalable acquisition pipeline using a handheld gripper to collect paired hand-gripper demonstrations, producing 6,189 episodes across 1,254 unique objects with higher spatial complexity than existing benchmarks. A two-stage framework first predicts sparse gripper keyframes (initial and terminal), then generates the full continuous action sequence conditioned on them, while learning gripper orientation and post-optimizing translation via grasping heuristics and kinematic consistency. Simulation and real-robot experiments show stable, precise hand-to-gripper transfer of complex spatial manipulations, outperforming traditional baselines.

Hugging Face daily papers·Sep 6, 20:00 UTC · 10d agoAI research

PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models

PhysBrain 1.5, an 8B physical foundation model, sets open-source state of the art across 28 embodied understanding benchmarks.

The paper presents PhysBrain 1.5, a unified 8B model for understanding physical environments, generating actions, and predicting future states, built from a vision-language model with joint autoregressive next-token prediction over language, end-effector motion, and dense visual targets. Pre-training uses embodied supervision from human interaction videos, followed by supervised fine-tuning on human demonstrations, robot trajectories, and simulated experience. The model averages 72.5 across 28 embodied benchmarks, setting a new open-source state of the art and performing on par with proprietary GPT-6-Astra and Gemini 3.6 Flash, with best open-source results on 14 benchmarks.

Hugging Face daily papers·Sep 13, 20:00 UTC · 3d agoAI research1

TFTrack: A Template-Free Framework for Efficient 3D Point Cloud Tracking

Researchers propose TFTrack, a template-free LiDAR 3D single object tracking framework cutting FLOPs ~50% while running at ~120 FPS.

TFTrack is the first template-free framework for 3D Single Object Tracking, dropping template-search pairings and complex motion modeling in favor of the prior bounding box center plus geometric alignment. It ships in three variants (TFTrack-Voxel, TFTrack-Pillar, TFTrack-Point) covering sparse and dense 3D representations. On KITTI and nuScenes it is competitive with leading template-based trackers while reducing FLOPs by about 50% and running near 120 FPS. Code is released, targeting real-time deployment in embedded robotics such as autonomous vehicles.

arXiv cs.AI / cs.LG / cs.CL·Sep 7, 16:43 UTC · 9d agoAI research

xHunt Campaign: Attacks on Kuwait Shipping and Transportation Organizations

xHunt deployed custom backdoors Hisoka, Killua, Gon, and EYE against Kuwait shipping and transportation organizations, using DNS tunneling and email-draft C2 channels.

Unit 42 observed the xHunt campaign targeting Kuwait transportation and shipping organizations between May and June 2019, installing backdoors named after characters from the anime Hunter x Hunter, including Hisoka, Killua, Sakabota, and Netero. The tools use HTTP and DNS tunneling for C2, and Hisoka v0.9 added an unusual email-based C2 channel that abuses Exchange Web Services with stolen credentials to exchange email drafts. The Gon tool provides port scanning, file transfer, screenshots, remote command execution, and RDP session creation, while EYE acts as a cleanup failsafe if a legitimate user logs in. Related activity targeting Kuwait between July and December 2018 was reported by IBM X-Force IRIS, suggesting the campaigns are likely related.

Palo Alto Unit 42·Aug 17, 13:21 UTC · Aug 17, 2026Threat actor1

GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting

GoDeep achieves annotation-free open-vocabulary 3D segmentation by grounding structured image descriptions in language-only embeddings, outperforming CLIP-based lifting on out-of-vocabulary objects.

GoDeep uses a vision-language model purely as a translator, producing structured entity-level image descriptions that are grounded, projected, and aggregated in a general-purpose language-only embedding space, with no 3D training corpus or dedicated 3D encoder required. On ScanNet++ the pipeline is competitive with strong annotation-free baselines, and on a cultural-heritage benchmark a systematic vocabulary correction reverses initial CLIP-based rankings. Language-space embeddings separate genuinely out-of-vocabulary objects more sharply, localize them within scenes, and keep all predictions explainable as discrete text.

arXiv cs.AI / cs.LG / cs.CL·Sep 8, 17:31 UTC · 8d agoAI research