PhishReplicant: A Language Model-based Approach to Detect Generated Squatting Domain Names

Domain squatting is a technique used by attackers to create domain names for phishing sites. In recent phishing attempts, we have observed many domain names that use multiple techniques to evade existing methods for domain squatting. These domain names, which we call generated squatting domains (GSDs), are quite different in appearance from legitimate domain names and do not contain brand names, making them difficult to associate with phishing. In this paper, we propose a system called PhishReplicant that detects GSDs by focusing on the linguistic similarity of domain names. We analyzed newly registered and observed domain names extracted from certificate transparency logs, passive DNS, and DNS zone files. We detected 3,498 domain names acquired by attackers in a four-week experiment, of which 2,821 were used for phishing sites within a month of detection. We also confirmed that our proposed system outperformed existing systems in both detection accuracy and number of domain names detected. As an in-depth analysis, we examined 205k GSDs collected over 150 days and found that phishing using GSDs was distributed globally. However, attackers intensively targeted brands in specific regions and industries. By analyzing GSDs in real time, we can block phishing sites before or immediately after they appear.Comment: Accepted at ACSAC 202

Detecting Phishing Sites Using ChatGPT

The rise of large language models (LLMs) has had a significant impact on various domains, including natural language processing and artificial intelligence. While LLMs such as ChatGPT have been extensively researched for tasks such as code generation and text synthesis, their application in detecting malicious web content, particularly phishing sites, has been largely unexplored. To combat the rising tide of automated cyber attacks facilitated by LLMs, it is imperative to automate the detection of malicious web content, which requires approaches that leverage the power of LLMs to analyze and classify phishing sites. In this paper, we propose a novel method that utilizes ChatGPT to detect phishing sites. Our approach involves leveraging a web crawler to gather information from websites and generate prompts based on this collected data. This approach enables us to detect various phishing sites without the need for fine-tuning machine learning models and identify social engineering techniques from the context of entire websites and URLs. To evaluate the performance of our proposed method, we conducted experiments using a dataset. The experimental results using GPT-4 demonstrated promising performance, with a precision of 98.3% and a recall of 98.4%. Comparative analysis between GPT-3.5 and GPT-4 revealed an enhancement in the latter's capability to reduce false negatives. These findings not only highlight the potential of LLMs in efficiently identifying phishing sites but also have significant implications for enhancing cybersecurity measures and protecting users from the dangers of online fraudulent activities

A high-performance deep reservoir computing experimentally demonstrated with ion-gating reservoirs

While physical reservoir computing (PRC) is a promising way to achieve low power consumption neuromorphic computing, its computational performance is still insufficient at a practical level. One promising approach to improving PRC performance is deep reservoir computing (deep-RC), in which the component reservoirs are multi-layered. However, all of the deep-RC schemes reported so far have been effective only for simulation reservoirs and limited PRCs, and there have been no reports of nanodevice implementations. Here, as the first nanodevice implementation of Deep-RC, we report a demonstration of deep physical reservoir computing using an ion gating reservoir (IGR), which is a small and high-performance physical reservoir. While previously reported Deep-RC scheme did not improve the performance of IGR, our Deep-IGR achieved a normalized mean squared error of 0.0092 on a second-order nonlinear autoregressive moving average task, with is the best performance of any physical reservoir so far reported. More importantly, the device outperformed full simulation reservoir computing. The dramatic performance improvement of the IGR with our deep-RC architecture paves the way for high-performance, large-scale, physical neural network devices.Comment: 21 pages, 6 figure

Comparison in gene expression of secretory human endometrium using laser microdissection

BACKGROUND: The endometrium prepares for implantation under the control of steroid hormones. It has been suggested that there are complicated interactions between the epithelium and stroma in the endometrium during menstrual cycle. In this study, we demonstrate a difference in gene expression between the epithelial and stromal areas of the secretory human endometrium using microdissection and macroarray technique. METHODS: The epithelial and stromal areas were microdissected from the human endometrium during the secretory phase. RNA was extracted and amplified by PCR. Macroarray analysis of nearly 1000 human genes was carried out in this study. Some genes identified by macroarray analysis were verified using real-time PCR. RESULTS: In this study, changes in expression <2.5-fold in three samples were excluded. A total of 28 genes displayed changes in expression from array data. Fifteen genes were strongly expressed in the epithelial areas, while 13 genes were strongly expressed in the stromal areas. The strongly expressed genes in the epithelial areas with a changes >5-fold were WAP four-disulfide core domain 2 (44.1 fold), matrix metalloproteinase 7 (40.1 fold), homeo box B5 (19.8 fold), msh homeo box homolog (18.8 fold), homeo box B7 (12.7 fold) and protein kinase C, theta (6.4 fold). On the other hand, decorin (55.6 fold), discoidin domain receptor member 2 (17.3 fold), tissue inhibitor of metalloproteinase 1 (9 fold), ribosomal protein S3A (6.3 fold), and tyrosine kinase with immunoglobulin and epidermal growth factor homology domains (5.2 fold) were strongly expressed in the stromal areas. WAP four-disulfide core domain 2 (19.4 fold), matrix metalloproteinase 7 (9.7-fold), decorin (16.3-fold) and tissue inhibitor of metalloproteinase 1 (7.2-fold) were verified by real-time PCR. CONCLUSIONS: Some of the genes we identified with differential expression are related to the immune system. These results are telling us the new information for understanding the secretory human endometrium

Case Report Transient Global Amnesia with Reversible White Matter Lesions: A Variant of Posterior Reversible Encephalopathy Syndrome?

Transient global amnesia (TGA) is a self-limited disease characterized by isolated amnesia, which resolves within 24 h. In contrast, posterior reversible encephalopathy syndrome (PRES) is a potentially life-threatening disease that usually presents with seizures, altered mental status, headache, and visual disturbances. It is characterized by reversible vasogenic edema that predominantly involves the parieto-occipital subcortical white matter as shown by neuroimaging studies. To date, there have been no reported cases of PRES with a clinical course resembling TGA. Here we report the case of a 58-year-old woman who presented with isolated amnesia and headache. On admission, her blood pressure was 187/100 mmHg. She had complete anterograde amnesia and slight retrograde amnesia without other neurological findings. After the treatment of her hypertension, the amnesia resolved within 24 h. Although the initial magnetic resonance image (MRI) was almost normal, the fluid attenuation inversion recovery (FLAIR) images of the MRI on the next day revealed several small foci of high intensity areas in the fronto-parieto-occipital subcortical white matter, presumed to be vasogenic edema in PRES. The lesions disappeared one month later. This case suggests that PRES can mimic the clinical course of TGA. PRES should be considered in the differential diagnosis for TGA

β-Catenin up-regulates Nanog expression through interaction with Oct-3/4 in embryonic stem cells

金沢大学大学院医学系研究科機能再生学It is well known that mouse embryonic stem (ES) cells can be maintained by the presence of leukemia inhibitory factor (LIF). Recent studies have revealed that Wnt also exhibits activity similar to LIF. The molecular mechanism behind the maintenance of ES cells by these factors, however, is not fully understood. In this study, we found that LIF enhances level of nuclear β-catenin, a component of the Wnt signaling pathway. Expression of an activated mutant of β-catenin led to the long-term proliferation of ES cells, even in the absence of LIF. Furthermore, it was found that β-catenin up-regulates Nanog in an Oct-3/4-dependent manner and that β-catenin physically associates with Oct-3/4. These results suggest that up-regulating Nanog through interaction with Oct-3/4 involves β-catenin in the LIF- and Wnt-mediated maintenance of ES cell self-renewal. © 2006 Elsevier Inc. All rights reserved

Radiation in an emergency situation: attempting to respect the patient's beliefs as reported by a minor

Background　Each individual's unique health-related beliefs can greatly impact the patient-clinician relationship. When there is a conflict between the patient's preferences and recommended medical care, it can create a serious ethical dilemma, especially in an emergency setting, and dramatically alter this important relationship. Case presentation　A 56-year-old man, who remained comatose after out-of-hospital cardiac arrest, was rushed to our hospital. The patient was scheduled for emergency coronary angiography when his adolescent daughter reported that she and her father held sincere beliefs against radiation exposure. We were concerned that she did not fully understand the potential consequences if her father did not receive the recommended treatment. A physician provided her with in depth information regarding the risks and benefits of the treatment. While we did not want to disregard her statement, we opted to save the patient's life due to concerns about the validity of her report. Conclusions　Variations in beliefs regarding medical care force clinicians to incorporate patient beliefs into medical practice. However, an emergency may require a completely different approach. When faced with a patient in a life-threatening condition and unconscious, we should take action to prioritize saving their life, unless we are highly certain about the validity of their advance directives

Esrrb directly binds to Gata6 promoter and regulates its expression with Dax1 and Ncoa3

Estrogen-related receptor beta (Esrrb) is expressed in embryonic stem (ES) cells and is involved in self-renewal ability and pluripotency. Previously, we found that Dax1 is associated with Esrrb and represses its transcriptional activity. Further, the disruption of the Dax1–Esrrb interaction increases the expression of the extra-embryonic endoderm marker Gata6 in ES cells. Here, we investigated the influences of Esrrb and Dax1 on Gata6 expression. Esrrb overexpression in ES cells induced endogenous Gata6 mRNA and Gata6 promoter activity. In addition, the Gata6 promoter was found to contain the Esrrb recognition motifs ERRE1 and ERRE2, and the latter was the responsive element of Esrrb. Associations between ERRE2 and Esrrb were then confirmed by biotin DNA pulldown and chromatin immunoprecipitation assays. Subsequently, we showed that Esrrb activity at the Gata6 promoter was repressed by Dax1, and although Dax1 did not bind to ERRE2, it was associated with Esrrb, which directly binds to ERRE2. In addition, the transcriptional activity of Esrrb was enhanced by nuclear receptor co-activator 3 (Ncoa3), which has recently been shown to be a binding partner of Esrrb. Finally, we showed that Dax1 was associated with Ncoa3 and repressed its transcriptional activity. Taken together, the present study indicates that the Gata6 promoter is activated by Esrrb in association with Ncoa3, and Dax1 inhibited activities of Esrrb and Ncoa3, resulting maintenance of the undifferentiated status of ES cells. © 2016 Elsevier Inc.Embargo Period 12 month