Posts of last few hours
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Write this blog due to Xray was EOL. Last version 1.9.11.
1. Patching Walkthrough for x86- run program
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./xray_darwin_amd64
this license is expired, expiration time is 2022-08-03 08:00:00
- find and locate string
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00000000: 74 68 69 73 20 6c 69 63 65 6e 73 65 20 69 73 20 this license is
00000010: 65 78 70 69 72 65 64 2c 20 65 78 70 69 72 61 74 expired, expirat
00000020: 69 6f 6e 20 74 69 6d 65 20 69 73 20 25 73 ion time is %s
- find references
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04f92ba3 e838fdffff call sub_4f928e0
04f92ba8 440f11bc24980000…movups xmmword [rsp+0x98 {var_48}], xmm15
04f92bb1 e8eabf07ff call sub_400eba0
04f92bb6 488d0dc3d46800 lea rcx, [rel data_5620080]
04f92bbd 48898c2498000000 mov qword [rsp+0x98 {var_48}], rcx {data_5620080}
04f92bc5 48898424a0000000 mov qword [rsp+0xa0 {var_48+0x8}], rax
04f92bcd 488d05657aab00 lea rax, [rel data_5a4a639] {"this license is expired, expirat…"}
04f92bd4 bb2e000000 mov ebx, 0x2e
04f92bd9 488d8c2498000000 lea rcx, [rsp+0x98 {var_48}]
04f92be1 bf01000000 mov edi, 0x1
04f92be6 4889fe mov rsi, rdi {0x1}
04f92be9 e8d21417ff call sub_41040c0
04f92bee 4889d9 mov rcx, rbx {0x2e}
04f92bf1 4889c3 mov rbx, rax
04f92bf4 31c0 xor eax, eax {0x0}
04f92bf6 488bac24d8000000 mov rbp, qword [rsp+0xd8 {__saved_rbp}]
04f92bfe 4881c4e0000000 add rsp, 0xe0
04f92c05 c3 retn {__return_addr}
04f92ba3 was jumped from 04f92a26
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04f92a1f 488b5838 mov rbx, qword [rax+0x38]
04f92a23 4839fb cmp rbx, rdi
04f92a26 0f8c77010000 jl 0x4f92ba3
时间范围:2026-05-12 至 2026-07-29
写作定位:这不是开发日志,也不是提交记录。它是一份面向分享的回忆录:记录一个交易想法如何从两篇 X 文章,变成一套越来越严肃、越来越不敢轻易相信自己的量化系统。
AI 协作说明:这份回忆录由 AI 协助我整理、追问和写作,用来记录我从交易想法出发,逐步构建、怀疑、修正一套量化系统的过程。里面的判断、取舍和反思来自项目推进中的真实证据与对话复盘,AI 主要承担梳理脉络、改写表达和补齐遗漏的工作。
更新原则:这份文档以后会不定期更新,但不会按“今天改了哪个文件”继续堆流水账。
每次更新优先记录四件事:
- 当时我以为什么是对的。
- 后来系统或数据如何证明我想简单了。
- 我做了什么决定,为什么没有选另一条路。
- 这个决定留下了什么结果、教训或新的风险。
具体代码、命令、回测数字仍会保留,但放在章节中的证据段或附录里。正文要尽量像一篇可以给别人看的长文,而不是一份工作汇报。
第一幕:第一条权益曲线太好看了这一幕写的是最早那种危险的兴奋感:两篇 X 文章、一套看起来很合理的交易框架、几条很快能跑起来的命令,以及第一条漂亮到让人愿意相信它的权益曲线。
那时我还没有真正理解,交易系统最会骗人的地方不是它跑不起来,而是它太快给你一个像答案的东西。第一幕的主线,就是从“策略好像有了”走到“数字开始互相打架”。
序章:最开始只是两篇文章这个项目真正的开始,不是一个仓库,也不是一个数据库——而是我一次过于自信的“来都来了”。
Microsoft is preparing to add AI phishing detection to Microsoft Teams, using conversation context to spot scams that may contain no harmful links or attachments. The feature will focus mainly on first conversations with external contacts, where attackers can pose as trusted support staff and ask employees to share sensitive information. Microsoft detailed the change […]
The post Microsoft Teams to Use AI for Detecting Phishing Attacks Using Teams Conversations appeared first on Cyber Security News.
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